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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.

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: 06 Feb 2025

https://github.com/reiinakano/scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

data-science machine-learning plot plotting scikit-learn visualization

Last synced: 04 Feb 2025

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: 04 Feb 2025

https://github.com/anfederico/clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

backtesting-trading-strategies machine-learning portfolio-simulation stock-market support-vector-machines

Last synced: 31 Jan 2025

https://github.com/anfederico/Clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

backtesting-trading-strategies machine-learning portfolio-simulation stock-market support-vector-machines

Last synced: 01 Nov 2024

https://github.com/wzhe06/SparrowRecSys

A Deep Learning Recommender System

deep-learning machine-learning recommender-system

Last synced: 11 Nov 2024

https://github.com/SeldonIO/alibi

Algorithms for explaining machine learning models

counterfactual explanations interpretability machine-learning xai

Last synced: 30 Oct 2024

https://github.com/seldonio/alibi

Algorithms for explaining machine learning models

counterfactual explanations interpretability machine-learning xai

Last synced: 04 Feb 2025

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: 30 Jan 2025

https://github.com/brikerman/kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

bert bert-model gpt-2 machine-learning named-entity-recognition ner nlp nlp-framework seq2seq sequence-labeling text-classification text-labeling transfer-learning

Last synced: 04 Feb 2025

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 Feb 2025

https://github.com/asyml/texar

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

bert casl-project data-processing deep-learning dialog-systems gpt-2 machine-learning machine-translation natural-language-processing python tensorflow texar text-data text-generation xlnet

Last synced: 31 Jan 2025

https://github.com/BrikerMan/Kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

bert bert-model gpt-2 machine-learning named-entity-recognition ner nlp nlp-framework seq2seq sequence-labeling text-classification text-labeling transfer-learning

Last synced: 30 Oct 2024

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/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/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: 06 Feb 2025

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: 31 Jan 2025

https://github.com/priorlabs/tabpfn

⚡ TabPFN: Foundation Model for Tabular Data ⚡

data-science foundation-models machine-learning tabpfn tabular-data

Last synced: 31 Jan 2025

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/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/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/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: 17 Jan 2025

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/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: 18 Nov 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: 31 Jan 2025

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: 31 Jan 2025

https://github.com/google/tangent

Source-to-Source Debuggable Derivatives in Pure Python

autodiff automatic-differentiation deep-learning machine-learning

Last synced: 18 Jan 2025

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/IBM/claimed

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

data-science machine-learning

Last synced: 14 Dec 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: 30 Jan 2025

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.

data-science machine-learning

Last synced: 04 Feb 2025

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: 31 Jan 2025

https://github.com/truera/trulens

Evaluation and Tracking for LLM Experiments

explainable-ml llm llmops machine-learning neural-networks

Last synced: 04 Feb 2025

https://github.com/hitsz-ids/synthetic-data-generator

SDG is a specialized framework designed to generate high-quality structured tabular data.

agent data-generator deep-learning gan generative-ai llm machine-learning privacy synthetic-data tabular-data

Last synced: 04 Feb 2025

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: 31 Jan 2025

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/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/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: 06 Feb 2025

https://github.com/zuruoke/watermark-removal

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

deep-learning machine-learning python tensorflow watermark-image

Last synced: 06 Feb 2025

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/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: 31 Jan 2025

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: 20 Nov 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: 01 Feb 2025

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: 04 Feb 2025

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: 01 Feb 2025

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: 01 Feb 2025

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: 01 Feb 2025

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/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/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: 06 Feb 2025

https://github.com/visualize-ml/book6_first-course-in-data-science

Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!

data data-science data-visualization feature-engineering machine-learning python

Last synced: 30 Jan 2025

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: 04 Feb 2025

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/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/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/rednaga/apkid

Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android

android android-protect-apps android-protection antivirus appshielding machine-learning malware-analysis malware-detection malware-research packers rasp yara yara-forensics

Last synced: 04 Feb 2025

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/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/PytorchLightning/metrics

Machine learning metrics for distributed, scalable PyTorch applications.

analyses data-science deep-learning machine-learning metrics python pytorch

Last synced: 19 Dec 2024