Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Machine learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
- GitHub: https://github.com/topics/machine-learning
- Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
- Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
- Last updated: 2024-11-14 00:16:54 UTC
- JSON Representation
https://github.com/openvinotoolkit/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
computer-vision deep-learning inference machine-learning openvino
Last synced: 08 Nov 2024
https://github.com/amazon-science/chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
artificial-intelligence forecasting foundation-models huggingface huggingface-transformers large-language-models llm machine-learning pretrained-models time-series time-series-forecasting timeseries transformers
Last synced: 09 Oct 2024
https://github.com/Hedgehog-Computing/hedgehog-lab
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
computer-algebra data-visualization gpu-acceleration javascript latex machine-learning matrix-library scientific-computing symbolic-computation tex webgl webgl2
Last synced: 01 Nov 2024
https://github.com/helblazer811/manimml
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
3blue1brown machine-learning manim neural-network visualization
Last synced: 14 Oct 2024
https://github.com/hedgehog-computing/hedgehog-lab
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
computer-algebra data-visualization gpu-acceleration javascript latex machine-learning matrix-library scientific-computing symbolic-computation tex webgl webgl2
Last synced: 11 Oct 2024
https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
artificial-intelligence data-mining data-science deep-learning game-theory hardware learning-theory literature machine-learning machine-learning-algorithms neural-network paper pattern-recognition reinforcement-learning silicon statistical-learning statistics
Last synced: 30 Oct 2024
https://github.com/pytorch/TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
cuda deep-learning jetson libtorch machine-learning nvidia pytorch tensorrt
Last synced: 06 Nov 2024
https://github.com/microsoft/dialogpt
Large-scale pretraining for dialogue
data-processing dialogpt dialogue gpt-2 machine-learning pytorch text-data text-generation transformer
Last synced: 07 Oct 2024
https://github.com/CVCUDA/CV-CUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
bytedance cloud computer-vision cpp cuda cv-cuda gpu image-processing machine-learning nvidia python
Last synced: 27 Oct 2024
https://github.com/cvcuda/cv-cuda
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
bytedance cloud computer-vision cpp cuda cv-cuda gpu image-processing machine-learning nvidia python
Last synced: 14 Oct 2024
https://github.com/curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo
Last synced: 06 Nov 2024
https://github.com/sdv-dev/SDV
Synthetic data generation for tabular data
data-generation deep-learning gan gans generative-adversarial-network generative-ai generative-model generativeai machine-learning multi-table relational-datasets sdv synthetic-data synthetic-data-generation time-series
Last synced: 29 Oct 2024
https://github.com/secretflow/secretflow
A unified framework for privacy-preserving data analysis and machine learning
confidential-computing data-analysis differential-privacy federated-learning homomorphic-encryption machine-learning privacy-preserving private-set-intersection secure-multiparty-computation split-learning trusted-execution-environment
Last synced: 05 Nov 2024
https://github.com/curiousily/getting-things-done-with-pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo
Last synced: 14 Oct 2024
https://github.com/microsoft/DialoGPT
Large-scale pretraining for dialogue
data-processing dialogpt dialogue gpt-2 machine-learning pytorch text-data text-generation transformer
Last synced: 07 Aug 2024
https://github.com/PennyLaneAI/pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow
Last synced: 30 Oct 2024
https://github.com/RasaHQ/rasa_core
Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
bot bot-framework botkit bots chatbot chatbot-framework conversational-agents conversational-ai conversational-bots machine-learning machine-learning-library nlp rasa
Last synced: 06 Nov 2024
https://github.com/sdv-dev/sdv
Synthetic data generation for tabular data
data-generation deep-learning gan gans generative-adversarial-network generative-ai generative-model generativeai machine-learning multi-table relational-datasets sdv synthetic-data synthetic-data-generation time-series
Last synced: 29 Oct 2024
https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
deep-learning gluon machine-learning mxnet natural-language-processing python sklearn
Last synced: 13 Oct 2024
https://github.com/claimed-framework/component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Last synced: 14 Oct 2024
https://github.com/google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
autodiff automatic-differentiation deep-learning machine-learning
Last synced: 26 Sep 2024
https://github.com/pizzadedados/datascience-pizza
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
dados data-science data-scientists hacktoberfest machine-learning
Last synced: 15 Oct 2024
https://github.com/PizzaDeDados/datascience-pizza
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
dados data-science data-scientists hacktoberfest machine-learning
Last synced: 25 Oct 2024
https://github.com/seldonio/alibi
Algorithms for explaining machine learning models
counterfactual explanations interpretability machine-learning xai
Last synced: 29 Oct 2024
https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
caffe convolutional-neural-networks deep-learning derin-ogrenme dogal-dil-isleme keras machine-learning makine-ogrenmesi natural-language-processing pytorch tensorflow yapay-zeka
Last synced: 13 Oct 2024
https://github.com/freedmand/semantra
Multi-tool for semantic search
cli machine-learning semantic-search
Last synced: 15 Oct 2024
https://github.com/Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt
Last synced: 05 Nov 2024
https://github.com/extreme-assistant/iccv2023-paper-code-interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
action-recognition computer-vision deep-learning iccv2017 iccv2019 iccv2021 image-classification image-recognition image-segmentation machine-learning object-detection
Last synced: 31 Oct 2024
https://github.com/helblazer811/ManimML
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
3blue1brown machine-learning manim neural-network visualization
Last synced: 04 Sep 2024
https://github.com/Eventual-Inc/Daft
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
big-data data-engineering data-science dataframe distributed-computing machine-learning python rust
Last synced: 06 Nov 2024
https://github.com/ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
andrew-ng andrew-ng-course andrew-ng-machine-learning andrewng coursera coursera-machine-learning data-science deep-learning deep-neural-networks dl machine-learning ml neural-network neural-networks numpy pandas python pytorch reinforcement-learning
Last synced: 03 Aug 2024
https://github.com/extreme-assistant/ICCV2023-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
action-recognition computer-vision deep-learning iccv2017 iccv2019 iccv2021 image-classification image-recognition image-segmentation machine-learning object-detection
Last synced: 28 Oct 2024
https://github.com/lgsvl/simulator
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
3d airsim api artificial-intelligence autonomous autoware baidu carla computer-vision csharp deep-learning game-engine machine-learning reinforcement-learning ros self-driving-car simulator tensorflow unity unreal-engine
Last synced: 13 Oct 2024
https://github.com/pythonot/pot
POT : Python Optimal Transport
domain-adaptation emd gromov-wasserstein machine-learning numerical-optimization optimal-transport ot-mapping-estimation ot-solver pot python sinkhorn-divergences sinkhorn-knopp wasserstein wasserstein-barycenter wasserstein-barycenters wasserstein-discriminant-analysis
Last synced: 29 Oct 2024
https://github.com/PythonOT/POT
POT : Python Optimal Transport
domain-adaptation emd gromov-wasserstein machine-learning numerical-optimization optimal-transport ot-mapping-estimation ot-solver pot python sinkhorn-divergences sinkhorn-knopp wasserstein wasserstein-barycenter wasserstein-barycenters wasserstein-discriminant-analysis
Last synced: 30 Oct 2024
https://github.com/dipanjanS/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
classification clustering computer-vision convolutional-neural-networks deep-learning jupyter jupyter-notebook keras machine-learning natural-language-processing nltk notebook pandas prophet python scikit-learn spacy statsmodels tensorflow time-series-analysis
Last synced: 29 Oct 2024
https://github.com/voxelmorph/voxelmorph
Unsupervised Learning for Image Registration
deep-learning diffeomorphism image-alignment image-registration machine-learning optical-flow probabilistic unsupervised-learning
Last synced: 15 Oct 2024
https://github.com/dipanjans/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
classification clustering computer-vision convolutional-neural-networks deep-learning jupyter jupyter-notebook keras machine-learning natural-language-processing nltk notebook pandas prophet python scikit-learn spacy statsmodels tensorflow time-series-analysis
Last synced: 09 Oct 2024
https://github.com/explosion/spacy-course
👩🏫 Advanced NLP with spaCy: A free online course
binder course dependency-parsing gatsby gatsbyjs jupyter machine-learning named-entity-recognition natural-language-processing nlp online-course part-of-speech-tagging spacy word-vectors
Last synced: 07 Oct 2024
https://github.com/nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt
Last synced: 15 Oct 2024
https://github.com/mrforexample/comfyui-3d-pack
An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)
comfy comfyui machine-learning
Last synced: 15 Oct 2024
https://github.com/samjabrahams/tensorflow-on-raspberry-pi
TensorFlow for Raspberry Pi
machine-learning raspberry-pi tensorflow
Last synced: 11 Oct 2024
https://github.com/sthalles/simclr
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
contrastive-loss deep-learning machine-learning pytorch pytorch-implementation representation-learning simclr torchvision unsupervised-learning
Last synced: 15 Oct 2024
https://github.com/JasonKessler/scattertext
Beautiful visualizations of how language differs among document types.
computational-social-science d3 eda exploratory-data-analysis japanese-language machine-learning natural-language-processing nlp scatter-plot semiotic-squares sentiment stylometric stylometry text-as-data text-mining text-visualization topic-modeling visualization word-embeddings word2vec
Last synced: 30 Oct 2024
https://github.com/trekhleb/nano-neuron
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
artificial-intelligence javascript machine-learning machine-learning-algorithms machinelearning
Last synced: 21 Oct 2024
https://github.com/jasonkessler/scattertext
Beautiful visualizations of how language differs among document types.
computational-social-science d3 eda exploratory-data-analysis japanese-language machine-learning natural-language-processing nlp scatter-plot semiotic-squares sentiment stylometric stylometry text-as-data text-mining text-visualization topic-modeling visualization word-embeddings word2vec
Last synced: 15 Oct 2024
https://github.com/salesforce/transmogrifai
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
ai automated-machine-learning automl dsl einstein estimators feature-engineering features machine-learning ml pipelines salesforce scala spark sparkml structured-data transformations transformers transmogrification transmogrify
Last synced: 12 Oct 2024
https://github.com/louisfb01/Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
2020 ai artificial-intelligence artificialintelligence computer-vision deep-learning deep-neural-networks deeplearning list machine-learning machinelearning paper paper-references papers sota sota-technique state-of-art state-of-art-general-segmentation state-of-the-art state-of-the-art-models
Last synced: 26 Oct 2024
https://github.com/louisfb01/best_ai_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
2020 ai artificial-intelligence artificialintelligence computer-vision deep-learning deep-neural-networks deeplearning list machine-learning machinelearning paper paper-references papers sota sota-technique state-of-art state-of-art-general-segmentation state-of-the-art state-of-the-art-models
Last synced: 14 Oct 2024
https://github.com/salesforce/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
ai automated-machine-learning automl dsl einstein estimators feature-engineering features machine-learning ml pipelines salesforce scala spark sparkml structured-data transformations transformers transmogrification transmogrify
Last synced: 30 Oct 2024
https://github.com/mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 14 Oct 2024
https://github.com/modAL-python/modAL
A modular active learning framework for Python
active-learning active-learning-module bayesian-optimization machine-learning machine-learning-algorithms machine-learning-api machine-learning-library python scikit-learn
Last synced: 29 Oct 2024
https://github.com/petrochukm/pytorch-nlp
Basic Utilities for PyTorch Natural Language Processing (NLP)
data-loader dataset deep-learning embeddings machine-learning metrics natural-language-processing neural-network nlp python pytorch pytorch-nlp sru torchnlp word-vectors
Last synced: 26 Sep 2024
https://github.com/PetrochukM/PyTorch-NLP
Basic Utilities for PyTorch Natural Language Processing (NLP)
data-loader dataset deep-learning embeddings machine-learning metrics natural-language-processing neural-network nlp python pytorch pytorch-nlp sru torchnlp word-vectors
Last synced: 30 Oct 2024
https://github.com/eventual-inc/daft
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
big-data data-engineering data-science dataframe distributed-computing machine-learning python rust
Last synced: 29 Oct 2024
https://github.com/google-research-datasets/objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
3d 3d-reconstruction 3d-vision ai augmented-reality computer-vision dataset deep-learning machine-learning neural-network python pytorch tensorflow
Last synced: 09 Oct 2024
https://github.com/google-research-datasets/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
3d 3d-reconstruction 3d-vision ai augmented-reality computer-vision dataset deep-learning machine-learning neural-network python pytorch tensorflow
Last synced: 27 Oct 2024
https://github.com/quantumblacklabs/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 04 Aug 2024
https://github.com/github/CodeSearchNet
Datasets, tools, and benchmarks for representation learning of code.
bert cnn data data-science datasets deep-learning machine-learning machine-learning-on-source-code ml natural-language-processing neural-networks nlp nlp-machine-learning open-data programming-language-theory python representation-learning rnn self-attention tensorflow
Last synced: 24 Oct 2024
https://nixtla.github.io/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt
Last synced: 22 Sep 2024
https://github.com/github/codesearchnet
Datasets, tools, and benchmarks for representation learning of code.
bert cnn data data-science datasets deep-learning machine-learning machine-learning-on-source-code ml natural-language-processing neural-networks nlp nlp-machine-learning open-data programming-language-theory python representation-learning rnn self-attention tensorflow
Last synced: 26 Sep 2024
https://github.com/pennylaneai/pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow
Last synced: 29 Oct 2024
https://github.com/uptrain-ai/uptrain
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
autoevaluation evaluation experimentation hallucination-detection jailbreak-detection llm-eval llm-prompting llm-test llmops machine-learning monitoring openai-evals prompt-engineering root-cause-analysis
Last synced: 14 Oct 2024
https://github.com/enpeizhao/CVprojects
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
computer-vision cpp cuda deep-learning embedded-systems machine-learning python tensorrt
Last synced: 27 Oct 2024
https://github.com/enpeizhao/cvprojects
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
computer-vision cpp cuda deep-learning embedded-systems machine-learning python tensorrt
Last synced: 14 Oct 2024
https://github.com/Accenture/AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
graph-embeddings graph-representation-learning knowledge-graph knowledge-graph-embeddings machine-learning relational-learning representation-learning
Last synced: 04 Nov 2024
https://github.com/accenture/ampligraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
graph-embeddings graph-representation-learning knowledge-graph knowledge-graph-embeddings machine-learning relational-learning representation-learning
Last synced: 15 Oct 2024
https://github.com/DerwenAI/pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
graph-algorithms machine-learning natural-language natural-language-processing nlp python spacy spacy-extension summarization textgraphs textrank
Last synced: 29 Oct 2024
https://github.com/derwenai/pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
graph-algorithms machine-learning natural-language natural-language-processing nlp python spacy spacy-extension summarization textgraphs textrank
Last synced: 29 Oct 2024
https://github.com/modal-python/modal
A modular active learning framework for Python
active-learning active-learning-module bayesian-optimization machine-learning machine-learning-algorithms machine-learning-api machine-learning-library python scikit-learn
Last synced: 10 Oct 2024
https://github.com/PyTorchLightning/metrics
Machine learning metrics for distributed, scalable PyTorch applications.
analyses data-science deep-learning machine-learning metrics python pytorch
Last synced: 08 Nov 2024
https://github.com/Lightning-AI/torchmetrics
Machine learning metrics for distributed, scalable PyTorch applications.
analyses data-science deep-learning machine-learning metrics python pytorch
Last synced: 30 Oct 2024
https://github.com/x4nth055/pythoncode-tutorials
The Python Code Tutorials
computer-vision ethical-hacking face-detection machine-learning natural-language-processing network-analysis network-programming network-security programming-tutorial python python-tutorials python3 scapy scapy-tutorials socket-programming text-classification tutorials web-scraping
Last synced: 15 Oct 2024
https://github.com/gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
bayesian-statistics machine-learning pattern-recognition prml python
Last synced: 21 Oct 2024
https://github.com/lucidrains/reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
artificial-intelligence attention-mechanism machine-learning pytorch transformers
Last synced: 13 Oct 2024
https://github.com/deepklarity/jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
jupyter-notebook machine-learning python
Last synced: 14 Oct 2024
https://github.com/benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
2vec community-detection deepwalk gcn graph-clustering graph-embedding graph2vec label-propagation louvain machine-learning network-embedding network-science networkx networkx-graph node-embedding node2vec scikit sklearn supervised-learning unsupervised-learning
Last synced: 13 Oct 2024
https://github.com/tensorflow/tfx
TFX is an end-to-end platform for deploying production ML pipelines
apache-beam machine-learning tensorflow
Last synced: 29 Oct 2024
https://github.com/virginiakm1988/ml2022-spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
deep-learning machine-learning
Last synced: 09 Oct 2024
https://github.com/cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
artificial-intelligence data-science deep-learning machine-learning notebooks
Last synced: 13 Nov 2024
https://github.com/cerlymarco/medium_notebook
Repository containing notebooks of my posts on Medium
artificial-intelligence data-science deep-learning machine-learning notebooks
Last synced: 14 Oct 2024
https://github.com/ajbrock/neural-photo-editor
A simple interface for editing natural photos with generative neural networks.
computer-vision convolutional-neural-networks deep-learning gans interfaces machine-learning
Last synced: 05 Nov 2024
https://github.com/ajbrock/Neural-Photo-Editor
A simple interface for editing natural photos with generative neural networks.
computer-vision convolutional-neural-networks deep-learning gans interfaces machine-learning
Last synced: 26 Oct 2024
https://github.com/girafe-ai/ml-course
Open Machine Learning course
computer-vision course deep-learning machine-learning materials natural-language-processing python pytorch reinforcement-learning seminars
Last synced: 15 Oct 2024
https://github.com/libAudioFlux/audioFlux
A library for audio and music analysis, feature extraction.
audio audio-analysis audio-features audio-processing deep-learning machine-learning mfcc mir music music-analysis music-information-retrieval pitch python signal-processing spectral-analysis spectrogram time-frequency-analysis wavelet-analysis wavelet-transform
Last synced: 25 Oct 2024
https://github.com/libaudioflux/audioflux
A library for audio and music analysis, feature extraction.
audio audio-analysis audio-features audio-processing deep-learning machine-learning mfcc mir music music-analysis music-information-retrieval pitch python signal-processing spectral-analysis spectrogram time-frequency-analysis wavelet-analysis wavelet-transform
Last synced: 14 Oct 2024
https://github.com/idealo/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
aws computer-vision convolutional-neural-networks deep-learning e-commerce idealo image-quality-assessment keras machine-learning mobilenet neural-network nima tensorflow
Last synced: 13 Oct 2024
https://github.com/metarank/metarank
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
automl data-engineering data-science deep-learning feature-engineering feature-extraction kubernetes machine-learning neural-networks personalization ranking scala search
Last synced: 15 Oct 2024
https://github.com/fepegar/torchio
Medical imaging toolkit for deep learning
augmentation data-augmentation deep-learning machine-learning medical-image-analysis medical-image-computing medical-image-processing medical-images medical-imaging-datasets medical-imaging-with-deep-learning python pytorch
Last synced: 29 Oct 2024
https://github.com/bgshih/crnn
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
computer-vision machine-learning ocr sequence-recognition torch7
Last synced: 15 Oct 2024
https://github.com/bangoc123/learn-machine-learning-in-two-months
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
javascript jupyter-notebook machine-learning machine-learning-tutorials numpy python python-tutorials python3 tensorflow tensorflow-experiments tensorflow-tutorials
Last synced: 13 Oct 2024
https://github.com/truera/trulens
Evaluation and Tracking for LLM Experiments
explainable-ml llm llmops machine-learning neural-networks
Last synced: 15 Oct 2024
https://github.com/alibaba/EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
bert deep-learning fewshot-learning knowledge-distillation knowledge-pretraining machine-learning nlp pretrained-models pytorch text-classification text-image-retrieval text-to-image-synthesis transfer-learning transformers
Last synced: 27 Oct 2024
https://github.com/shashankvemuri/Finance
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
algorithmic-trading data-science finance machine-learning pandas python quantitative-finance stock stock-market stocks technical-indicators trading-strategies
Last synced: 02 Nov 2024
https://github.com/aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
aws huggingface machine-learning mxnet python pytorch sagemaker tensorflow
Last synced: 28 Oct 2024
https://github.com/orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
algorithms data-science deep-learning full-stack gitbook machine-learning marketing mlcompendium probability product-management statistics ux-design ux-experience ux-research
Last synced: 15 Oct 2024
https://github.com/alibaba/easynlp
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
bert deep-learning fewshot-learning knowledge-distillation knowledge-pretraining machine-learning nlp pretrained-models pytorch text-classification text-image-retrieval text-to-image-synthesis transfer-learning transformers
Last synced: 09 Oct 2024
https://github.com/TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 27 Oct 2024
https://github.com/turinglang/turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 15 Oct 2024
https://github.com/achillesrasquinha/bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
deep-learning finance machine-learning prediction python-library quantitative-finance quantitative-trading sentiment-analysis stock-market stock-market-prediction stock-prediction
Last synced: 15 Oct 2024
