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An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning for humans
Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
💫 Industrial-strength Natural Language Processing (NLP) in Python
PyTorch Tutorial for Deep Learning Researchers
Data Science Ipython Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Open standard for machine learning interoperability
Topic Modelling for Humans
Neural Networks And Deep Learning
Code samples for my book "Neural Networks and Deep Learning"
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Machine learning, in numpy
Python Machine Learning Book
The "Python Machine Learning (1st edition)" book code repository and info resource
Fast Style Transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
The Incredible Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Minimal and clean examples of machine learning algorithms implementations
Data-centric declarative deep learning framework
Keras implementations of Generative Adversarial Networks.
TensorFlow Tutorials with YouTube Videos
Differentiable Computer Vision Library
The next-generation platform to monitor and optimize your AI costs in one place 🚀
Build your neural network easy and fast, 莫烦Python中文教学
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
NeMo: a toolkit for conversational AI
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
A flexible, high-performance serving system for machine learning models
A flexible framework of neural networks for deep learning
Gluon CV Toolkit
Deep Reinforcement Learning for Keras.
A general-purpose encoder-decoder framework for Tensorflow
Cnn Text Classification Tf
Convolutional Neural Network for Text Classification in Tensorflow
Build Graph Nets in Tensorflow
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Image augmentation library in Python for machine learning.
Have Fun With Machine Learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
🌎 Simple and ready-to-use tutorials for TensorFlow
😎 Finding duplicate images made easy!
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learning To Learn
Learning to Learn in TensorFlow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Tensorflow tutorial from basic to hard
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Lightweight library to build and train neural networks in Theano
Plain python implementations of basic machine learning algorithms
A PyTorch Library for Accelerating 3D Deep Learning Research
Probabilistic time series modeling in Python
Train neural networks up to 7x faster
Neural Network to colorize grayscale images
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.
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Deep Learning Roadmap
📡 Organized Resources for Deep Learning Researchers and Developers
a delightful machine learning tool that allows you to train, test, and use models without writing code
NeuralProphet: A simple forecasting package
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.
Time series forecasting with PyTorch
[CVPR2020] Adversarial Latent Autoencoders
Simple and comprehensive tutorials in TensorFlow
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Machine learning glossary
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
✨Fast Coreference Resolution in spaCy with Neural Networks
Neural network visualization toolkit for keras
Deep learning driven jazz generation using Keras & Theano!
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
JAX-based neural network library
Data Science Best Resources
Carefully curated resource links for data science in one place
Sandbox for training deep learning networks
Graph Neural Networks with Keras and Tensorflow 2.
An unnecessarily tiny implementation of GPT-2 in NumPy.
A small course on exploiting and defending neural networks
Convolutional recurrent network in pytorch
Awesome Pytorch Chinese
Deep Learning For Recommendation Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Tensorflow Speech Recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
LLM training code for MosaicML foundation models
An End-To-End, Lightweight and Flexible Platform for Game Research
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Python Ml (20,195)
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Python Machine Learning (14,099)
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Python Deep Learning (13,092)
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