Neural Open Source Projects

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

PyTorch Tutorial for Deep Learning Researchers

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.

A curated list of awesome Deep Learning tutorials, projects and communities.

Convolutional Neural Networks

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

☁️ Build multimodal AI applications with cloud-native stack

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Code samples for my book "Neural Networks and Deep Learning"

NeMo: a toolkit for conversational AI

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Must-read papers on graph neural networks (GNN)

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Oxford Deep NLP 2017 course

Face recognition with deep neural networks.

This repository is no longer maintained.

Natural Language Processing Tutorial for Deep Learning Researchers

Play with neural networks!

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Super Resolution for images using deep learning.

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Code release for NeRF (Neural Radiance Fields)

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Learning Convolutional Neural Networks with Interactive Visualization.

Bringing Characters to Life with Computer Brains in Unity

A resource for learning about Machine learning & Deep Learning

Build your neural network easy and fast, 莫烦Python中文教学

Simple feed-forward neural network in JavaScript

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Deep Learning Specialization by Andrew Ng on Coursera.

Flax is a neural network library for JAX that is designed for flexibility.

VIP cheatsheets for Stanford's CS 230 Deep Learning

architecture-free neural network library for node.js and the browser

AI实战-practicalAI 中文版

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

TensorFlow Neural Machine Translation Tutorial

Recurrent Neural Network - A curated list of resources dedicated to RNN

A list of popular github projects related to deep learning

Simple tutorials using Google's TensorFlow Framework

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

Recurrent neural network for audio noise reduction

Convolutional Neural Network for Text Classification in Tensorflow

Publication-ready NN-architecture schematics.

Neural style in TensorFlow! 🎨

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Tools to Design or Visualize Architecture of Neural Network

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.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

The "Python Machine Learning (3rd edition)" book code repository

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

A collection of infrastructure and tools for research in neural network interpretability.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Awesome Incremental Learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.