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: 2024-11-15 00:17:17 UTC
- JSON Representation
https://github.com/SciSharp/TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
chatbot csharp deep-learning dotnetcore keras machine-learning scisharp tensorflow
Last synced: 02 Nov 2024
https://github.com/promptslab/Promptify
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
chatgpt chatgpt-api chatgpt-python gpt-3 gpt-3-prompts gpt-4 gpt-4-api gpt3-library large-language-models machine-learning nlp openai prompt-engineering prompt-toolkit prompt-tuning prompt-versioning prompting prompts promptversioning transformers
Last synced: 31 Oct 2024
https://github.com/catalyst-team/catalyst
Accelerated deep learning R&D
computer-vision deep-learning distributed-computing image-classification image-processing image-segmentation information-retrieval infrastructure machine-learning metric-learning natural-language-processing object-detection python pytorch recommender-system reinforcement-learning reproducibility research text-classification text-segmentation
Last synced: 15 Oct 2024
https://github.com/scisharp/tensorflow.net
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
chatbot csharp deep-learning dotnetcore keras machine-learning scisharp tensorflow
Last synced: 09 Oct 2024
https://github.com/dair-ai/ml-notebooks
:fire: Machine Learning Notebooks
ai deep-learning machine-learning python pytorch
Last synced: 15 Oct 2024
https://github.com/promptslab/promptify
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
chatgpt chatgpt-api chatgpt-python gpt-3 gpt-3-prompts gpt-4 gpt-4-api gpt3-library large-language-models machine-learning nlp openai prompt-engineering prompt-toolkit prompt-tuning prompt-versioning prompting prompts promptversioning transformers
Last synced: 15 Oct 2024
https://github.com/graykode/nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
keyword machine-learning natural-language-processing nlp probability-statistics roadmap textmining
Last synced: 14 Oct 2024
https://github.com/jaymody/picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy.
deep-learning gpt gpt-2 large-language-models machine-learning neural-network nlp python
Last synced: 29 Oct 2024
https://github.com/jaymody/picogpt
An unnecessarily tiny implementation of GPT-2 in NumPy.
deep-learning gpt gpt-2 large-language-models machine-learning neural-network nlp python
Last synced: 15 Oct 2024
https://github.com/srush/tensor-puzzles
Solve puzzles. Improve your pytorch.
Last synced: 14 Oct 2024
https://github.com/visionml/pytracking
Visual tracking library based on PyTorch.
computer-vision machine-learning tracking visual-tracking
Last synced: 15 Oct 2024
https://github.com/louisfb01/best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
2022 ai artificial-intelligence computer-science computer-vision deep-learning innovation machine-learning machinelearning neural-network paper papers python sota state-of-art state-of-the-art technology
Last synced: 26 Oct 2024
https://github.com/louisfb01/best_ai_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
2022 ai artificial-intelligence computer-science computer-vision deep-learning innovation machine-learning machinelearning neural-network paper papers python sota state-of-art state-of-the-art technology
Last synced: 14 Oct 2024
https://github.com/JoePenna/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
ai artificial-intelligence image-generation img2img latent-diffusion machine-learning model-training stable-diffusion txt2img
Last synced: 08 Nov 2024
https://github.com/sbrugman/deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
arxiv deep-learning deep-learning-papers machine-learning neural-networks papers science
Last synced: 26 Sep 2024
https://github.com/towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
computer-vision convolutional-networks embedding-vectors embeddings feature-extraction feature-vector image-processing image-retrieval llm machine-learning milvus pipeline towhee transformer unstructured-data video-processing vision-transformer vit
Last synced: 15 Oct 2024
https://github.com/joepenna/dreambooth-stable-diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
ai artificial-intelligence image-generation img2img latent-diffusion machine-learning model-training stable-diffusion txt2img
Last synced: 15 Oct 2024
https://github.com/google/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
bioinformatics deep-learning deep-neural-network deepvariant dna genome genomics machine-learning ngs science sequencing tensorflow
Last synced: 10 Oct 2024
https://github.com/ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
data-science deep-learning jupyter-notebook machine-learning python python3
Last synced: 15 Oct 2024
https://github.com/lightly-ai/lightly
A python library for self-supervised learning on images.
computer-vision contrastive-learning contributions-welcome deep-learning embeddings hacktoberfest machine-learning pytorch self-supervised-learning
Last synced: 15 Nov 2024
https://github.com/migueldeicaza/TensorFlowSharp
TensorFlow API for .NET languages
c-sharp dot-net f-sharp machine-learning mono tensorflow xamarin
Last synced: 27 Oct 2024
https://github.com/migueldeicaza/tensorflowsharp
TensorFlow API for .NET languages
c-sharp dot-net f-sharp machine-learning mono tensorflow xamarin
Last synced: 11 Oct 2024
https://github.com/handong1587/handong1587.github.io
computer-vision deep-learning machine-learning programming
Last synced: 15 Oct 2024
https://github.com/adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
contrastive-loss deep-learning embedding learning-embeddings machine-learning pytorch siamese-network triplet-loss triplet-network
Last synced: 14 Oct 2024
https://github.com/aksnzhy/xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
data-analysis data-science factorization-machines ffm fm machine-learning statistics
Last synced: 15 Oct 2024
https://github.com/nidhaloff/igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
artificial-intelligence automation automl automl-experiments data-analysis data-science hacktoberfest hacktoberfest2021 machine-learning machine-learning-algorithms machine-learning-library machinelearning neural-network neural-networks preprocessing scikit-learn scikitlearn-machine-learning sklearn
Last synced: 13 Oct 2024
https://github.com/tirthajyoti/machine-learning-with-python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics
Last synced: 10 Oct 2024
https://github.com/DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
arxiv deep-learning machine-learning papers
Last synced: 25 Oct 2024
https://github.com/ml-tooling/opyrator
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
deployment faas fastapi functions machine-learning microservices pydantic python python-functions serverless streamlit type-hints
Last synced: 13 Oct 2024
https://github.com/llmware-ai/llmware
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
ai bert embedding-vectors embeddings faiss generative-ai information-retrieval large-language-models machine-learning milvus nlp parsing python pytorch question-answering rag retrieval-augmented-generation semantic-search transformers
Last synced: 15 Oct 2024
https://llmware-ai.github.io/llmware/
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
ai bert embedding-vectors embeddings faiss generative-ai information-retrieval large-language-models machine-learning milvus nlp parsing python pytorch question-answering rag retrieval-augmented-generation semantic-search transformers
Last synced: 24 Sep 2024
https://github.com/ben1234560/AiLearning-Theory-Applying
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
ai bert dataming deep-learning kaggle-competition learning-by-doing machine-learning nlp
Last synced: 08 Nov 2024
https://github.com/tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics
Last synced: 07 Aug 2024
https://github.com/ben1234560/ailearning-theory-applying
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
ai bert dataming deep-learning kaggle-competition learning-by-doing machine-learning nlp
Last synced: 15 Oct 2024
https://github.com/shogun-toolbox/shogun
Shōgun
artificial-intelligence c-plus-plus cmake data-science machine-learning swig
Last synced: 14 Oct 2024
https://github.com/kserve/kserve
Standardized Serverless ML Inference Platform on Kubernetes
artificial-intelligence hacktoberfest hacktoberfest2023 istio k8s knative kserve kubeflow kubeflow-pipelines kubernetes machine-learning mlops mlops-community model-interpretability model-serving pytorch service-mesh sklearn tensorflow xgboost
Last synced: 13 Oct 2024
https://github.com/kubeflow/kfserving
Standardized Serverless ML Inference Platform on Kubernetes
artificial-intelligence hacktoberfest hacktoberfest2023 istio k8s knative kserve kubeflow kubeflow-pipelines kubernetes machine-learning mlops mlops-community model-interpretability model-serving pytorch service-mesh sklearn tensorflow xgboost
Last synced: 28 Aug 2024
https://github.com/kermitt2/grobid
A machine learning software for extracting information from scholarly documents
bibliographical-references crf deep-learning fulltext hamburger-to-cow machine-learning metadata pdf rnn scientific-articles transformers
Last synced: 15 Oct 2024
https://github.com/bfortuner/ml-glossary
Machine learning glossary
cheatsheets data-science deep-learning deep-learning-tutorial machine-learning neural-network
Last synced: 14 Oct 2024
https://github.com/microsoft/torchscale
Foundation Architecture for (M)LLMs
computer-vision machine-learning multimodal natural-language-processing pretrained-language-model speech-processing transformer translation
Last synced: 07 Oct 2024
https://github.com/alpa-projects/alpa
Training and serving large-scale neural networks with auto parallelization.
alpa auto-parallelization compiler deep-learning distributed-computing distributed-training high-performance-computing jax llm machine-learning
Last synced: 14 Oct 2024
https://github.com/maciejkula/spotlight
Deep recommender models using PyTorch.
deep-learning learning-to-rank machine-learning matrix-factorization python pytorch recommender-system
Last synced: 13 Nov 2024
https://github.com/weld-project/weld
High-performance runtime for data analytics applications
analytics code-generation data llvm machine-learning pandas performance rust stanford
Last synced: 14 Oct 2024
https://github.com/girls-in-ai/Girls-In-AI
免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
deep-learning girl jupyter-notebook kaggle machine-learning python3
Last synced: 07 Aug 2024
https://github.com/girls-in-ai/girls-in-ai
免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
deep-learning girl jupyter-notebook kaggle machine-learning python3
Last synced: 14 Oct 2024
https://github.com/yanshengjia/ml-road
Machine Learning Resources, Practice and Research
computer-vision deep-learning machine-learning nlp pytorch speech-recognition tensorflow
Last synced: 07 Aug 2024
https://github.com/docarray/docarray
Represent, send, store and search multimodal data
cross-modal data-structures dataclass deep-learning docarray elasticsearch fastapi machine-learning multi-modal multimodal nearest-neighbor-search nested-data neural-search protobuf pydantic pytorch qdrant semantic-search weaviate
Last synced: 29 Oct 2024
https://github.com/raghakot/keras-vis
Neural network visualization toolkit for keras
deep-learning keras machine-learning neural-networks tensorflow theano visualization
Last synced: 13 Oct 2024
https://github.com/zvtvz/zvt
modular quant framework.
algorithmic-trading backtesting cryptocurrency fintech fundamental-analysis machine-learning ml python quant quantitative-finance quantitative-trading stock stock-market technical-analysis trading-bot trading-platform trading-strategies zvt
Last synced: 15 Oct 2024
https://github.com/opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
artificial-intelligence deep-learning geopython geospatial machine-learning segment-anything segmentation
Last synced: 15 Oct 2024
https://github.com/QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
adversarial-attacks adversarial-examples adversarial-machine-learning data-augmentation machine-learning natural-language-processing nlp security
Last synced: 03 Nov 2024
https://github.com/GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
data-engineering data-quality data-science deep-learning distributed-ml llms machine-learning mlops natural-language-processing python pytorch ray
Last synced: 30 Oct 2024
https://github.com/EliteQuant/EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
algorithmic-trading asset-management asset-pricing machine-learning mathematical-finance portfolio-management quantitative-finance quantitative-trading trading-platform trading-systems
Last synced: 12 Nov 2024
https://github.com/stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
data-science deep-learning gcn geometric-deep-learning graph-analysis graph-convolutional-networks graph-data graph-machine-learning graph-neural-networks graphs heterogeneous-networks interpretability link-prediction machine-learning machine-learning-algorithms networkx python saliency-map stellargraph-library
Last synced: 14 Oct 2024
https://github.com/qdata/textattack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
adversarial-attacks adversarial-examples adversarial-machine-learning data-augmentation machine-learning natural-language-processing nlp security
Last synced: 29 Oct 2024
https://github.com/gokumohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
data-engineering data-quality data-science deep-learning distributed-ml llms machine-learning mlops natural-language-processing python pytorch ray
Last synced: 15 Oct 2024
https://github.com/iryna-kondr/scikit-llm
Seamlessly integrate LLMs into scikit-learn.
chatgpt deep-learning llm machine-learning scikit-learn transformers
Last synced: 29 Oct 2024
https://github.com/elitequant/elitequant
A list of online resources for quantitative modeling, trading, portfolio management
algorithmic-trading asset-management asset-pricing machine-learning mathematical-finance portfolio-management quantitative-finance quantitative-trading trading-platform trading-systems
Last synced: 14 Oct 2024
https://github.com/keithito/tacotron
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
machine-learning python speech-synthesis tacotron tensorflow tts
Last synced: 14 Oct 2024
https://github.com/osmr/imgclsmob
Sandbox for training deep learning networks
3d-face-reconstruction chainer cifar classification deep-learning gluon human-pose-estimation image-classification imagenet keras machine-learning mxnet neural-network pretrained-models pytorch segmentation semantic-segmentation tensorflow tensorflow2
Last synced: 13 Oct 2024
https://github.com/montanaflynn/stats
A well tested and comprehensive Golang statistics library package with no dependencies.
algorithms analytics data go machine-learning math rounding statistics stats
Last synced: 28 Oct 2024
https://github.com/mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost
Last synced: 13 Oct 2024
https://github.com/Cartucho/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
average-precision computer-vision darkflow darknet detection ground-truth machine-learning metrics neural-network object-detection pascal-voc yolo
Last synced: 09 Nov 2024
https://github.com/mit-nlp/MITIE
MITIE: library and tools for information extraction
c-plus-plus information-extraction java machine-learning natural-language-processing python
Last synced: 26 Oct 2024
https://github.com/mit-nlp/mitie
MITIE: library and tools for information extraction
c-plus-plus information-extraction java machine-learning natural-language-processing python
Last synced: 14 Oct 2024
https://github.com/cartucho/map
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
average-precision computer-vision darkflow darknet detection ground-truth machine-learning metrics neural-network object-detection pascal-voc yolo
Last synced: 14 Oct 2024
https://github.com/louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
2021 ai artificial-intelligence artificialintelligence computer-science computer-vision deep-learning innovation machine-learning machinelearning paper papers python research research-paper sota sota-technique state-of-art state-of-the-art technology
Last synced: 05 Nov 2024
https://github.com/tirthajyoti/Data-science-best-resources
Carefully curated resource links for data science in one place
analytics api artificial-intelligence aws cheatsheet data-science data-wrangling database deep-learning linux machine-learning neural-network online-course python r reinforcement-learning scikit-learn sql statistics visualization
Last synced: 07 Nov 2024
https://github.com/huggingface/speech-to-speech
Speech To Speech: an effort for an open-sourced and modular GPT4-o
ai assistant language-model machine-learning python speech speech-synthesis speech-to-text speech-translation
Last synced: 07 Sep 2024
https://github.com/heavyai/heavydb
HeavyDB (formerly OmniSciDB)
cuda database gpu heavyai interactive llvm machine-learning mapd olap omnisci real-time sql visualization
Last synced: 14 Oct 2024
https://github.com/mapd/mapd-core
HeavyDB (formerly OmniSciDB)
cuda database gpu heavyai interactive llvm machine-learning mapd olap omnisci real-time sql visualization
Last synced: 05 Aug 2024
https://github.com/shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
automl classification machine-learning regression
Last synced: 29 Oct 2024
https://github.com/horance-liu/tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
deeplearning machine-learning tensorflow
Last synced: 15 Oct 2024
https://github.com/deepmind/dm-haiku
JAX-based neural network library
deep-learning deep-neural-networks jax machine-learning neural-networks
Last synced: 08 Nov 2024
https://github.com/mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
data-science deep-learning machine-learning
Last synced: 15 Oct 2024
https://github.com/determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
data-science deep-learning distributed-training hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras kubernetes machine-learning ml-infrastructure ml-platform mlops pytorch tensorflow
Last synced: 29 Oct 2024
https://github.com/jbesomi/texthero
Text preprocessing, representation and visualization from zero to hero.
machine-learning nlp nlp-pipeline text-clustering text-mining text-preprocessing text-representation text-visualization texthero word-embeddings
Last synced: 14 Oct 2024
https://github.com/tirthajyoti/data-science-best-resources
Carefully curated resource links for data science in one place
analytics api artificial-intelligence aws cheatsheet data-science data-wrangling database deep-learning linux machine-learning neural-network online-course python r reinforcement-learning scikit-learn sql statistics visualization
Last synced: 10 Oct 2024
https://github.com/jisungk/deepjazz
Deep learning driven jazz generation using Keras & Theano!
deep-learning jazz keras lstm machine-learning music neural-networks rnn theano
Last synced: 13 Oct 2024
https://github.com/visualize-ml/book5_essentials-of-probability-and-statistics
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
machine-learning multivariate-statistics pca regression statistics
Last synced: 15 Oct 2024
https://github.com/easy-tensorflow/easy-tensorflow
Simple and comprehensive tutorials in TensorFlow
convolutional-neural-networks deep-learning machine-learning neural-network object-detection pattern-recognition python recurrent-neural-networks reinforcement-learning tensorflow
Last synced: 15 Oct 2024
https://github.com/seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
a2c a3c acer ddpg deep-learning deep-reinforcement-learning dqn machine-learning policy-gradients ppo pytorch reinforce reinforcement-learning sac simple
Last synced: 04 Nov 2024
https://github.com/seungeunrho/minimalrl
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
a2c a3c acer ddpg deep-learning deep-reinforcement-learning dqn machine-learning policy-gradients ppo pytorch reinforce reinforcement-learning sac simple
Last synced: 15 Oct 2024
https://github.com/tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
dtw dynamic-time-warping machine-learning machine-learning-algorithms machinelearning python time-series time-series-analysis time-series-classification time-series-clustering timeseries
Last synced: 29 Oct 2024
https://github.com/fbdesignpro/sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
data-analysis data-exploration data-profiling data-science data-visualization eda exploration exploratory-data-analysis machine-learning pandas pandas-dataframe python statistics
Last synced: 15 Oct 2024
https://github.com/parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
data-science decision-trees machine-learning model-interpretation python random-forest scikit-learn visualization xgboost
Last synced: 13 Oct 2024
https://github.com/libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
data-science machine-learning pytorch
Last synced: 29 Oct 2024
https://github.com/huggingface/neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
coreference coreference-resolution machine-learning neural-networks nlp python pytorch spacy spacy-extension spacy-pipeline
Last synced: 14 Oct 2024
https://github.com/keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Last synced: 07 Oct 2024
https://github.com/rtavenar/tslearn
The machine learning toolkit for time series analysis in Python
dtw dynamic-time-warping machine-learning machine-learning-algorithms machinelearning python time-series time-series-analysis time-series-classification time-series-clustering timeseries
Last synced: 05 Aug 2024
https://github.com/explosion/thinc
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
ai artificial-intelligence deep-learning functional-programming jax machine-learning machine-learning-library mxnet natural-language-processing nlp python pytorch spacy tensorflow type-checking
Last synced: 28 Oct 2024
https://github.com/eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
computer-vision deep-learning embeddings machine-learning nlp recommender-system reinforcement-learning survey
Last synced: 14 Oct 2024
https://github.com/google-deepmind/dm-haiku
JAX-based neural network library
deep-learning deep-neural-networks jax machine-learning neural-networks
Last synced: 15 Oct 2024
https://github.com/dragen1860/deep-learning-with-pytorch-tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
artificial-intelligence convolutional-neural-networks deep-learning generative-adversarial-network machine-learning pytorch recurrent-neural-networks tutorial
Last synced: 21 Oct 2024
https://github.com/BayesWitnesses/m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost
Last synced: 26 Oct 2024
https://github.com/bayeswitnesses/m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost
Last synced: 29 Oct 2024
https://github.com/iree-org/iree
A retargetable MLIR-based machine learning compiler and runtime toolkit.
compiler cuda jax machine-learning mlir pytorch runtime spirv tensorflow vulkan
Last synced: 02 Nov 2024
https://github.com/ARM-software/ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
aarch64 android arm armv7 armv8 computer-vision cpp linux machine-learning neon neural-network opencl simd sve
Last synced: 26 Oct 2024
https://github.com/robi56/deep-learning-for-recommendation-systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
collaborative-filtering deep-learning hybrid-recommendation machine-learning music-recommendation neural-network python recommender-system tensorflow
Last synced: 15 Oct 2024
https://github.com/robi56/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
collaborative-filtering deep-learning hybrid-recommendation machine-learning music-recommendation neural-network python recommender-system tensorflow
Last synced: 28 Oct 2024