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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Made With Ml
Learn how to responsibly develop, deploy and maintain production machine learning applications.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The fastai deep learning library
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Visualizer for neural network, deep learning, and machine learning models
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Learn OpenCV : C++ and Python Examples
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production in a fast and scalable way.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Open standard for machine learning interoperability
Datasets, Transforms and Models specific to Computer Vision
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Best Of Ml Python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Deep Learning With Tensorflow Book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.
Open3D: A Modern Library for 3D Data Processing
Data-centric declarative deep learning framework
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Differentiable Computer Vision Library
A hyperparameter optimization framework
The next-generation platform to monitor and optimize your AI costs in one place 🚀
Deep universal probabilistic programming with Python and PyTorch
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Pytorch Grad Cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Build your neural network easy and fast, 莫烦Python中文教学
Python Small Examples
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work
Official Stanford NLP Python Library for Many Human Languages
Techniques for deep learning with satellite & aerial imagery
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Gluon CV Toolkit
A collaboration friendly studio for NeRFs
Machine Learning Collection
A resource for learning about Machine learning & Deep Learning
Pytorch Metric Learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
A scikit-learn compatible neural network library that wraps PyTorch
A list of popular github projects related to deep learning
Containers for machine learning
🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A PyTorch Implementation of Single Shot MultiBox Detector
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Tengine is a lite, high performance, modular inference engine for embedded device
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
PipelineAI Kubeflow Distribution
Pytorch Deep Learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Deep Person Reid
Torchreid: Deep learning person re-identification in PyTorch.
Aim 💫 — An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, AI agents tracing)
Probabilistic time series modeling in Python
Train neural networks up to 7x faster
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Serve, optimize and scale PyTorch models in production
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
An Engine-Agnostic Deep Learning Framework in Java
A high performance and generic framework for distributed DNN training
Hummingbird compiles trained ML models into tensor computation for faster inference.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Accelerated deep learning R&D
Fast, flexible and easy to use probabilistic modelling in Python.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
NeuralProphet: A simple forecasting package
Rust bindings for the C++ api of PyTorch.
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Time series forecasting with PyTorch
Siamese and triplet networks with online pair/triplet mining in PyTorch
[CVPR2020] Adversarial Latent Autoencoders
🔥 Machine Learning Notebooks
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Deep recommender models using PyTorch.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Flower: A Friendly Federated Learning Framework
✨Fast Coreference Resolution in spaCy with Neural Networks
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