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🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A PyTorch implementation of the Transformer model in "Attention is All You Need".
LSTM and QRNN Language Model Toolkit for PyTorch
Awesome Contrastive Learning for CV & NLP
【干货】史上最全的PyTorch学习资源汇总
A curated list of awesome self-supervised methods
TensorFlow code and pre-trained models for BERT
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning
An adversarial example library for constructing attacks, building defenses, and benchmarking both
a list of pappers in deep learning for new-comes.
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
Deep Learning Book Chinese Translation
A pytorch adversarial library for attack and defense methods on images and graphs
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The fastai deep learning library, plus lessons and tutorials
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
A robot powered training repository :robot:
A curated list of adversarial attacks and defenses papers on graph-structured data.
Library for implementing RNNs with Theano
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Recipe Generation from Food Images
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
A challenge to explore adversarial robustness of neural networks on MNIST.
Torch implementation of neural style algorithm
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
PyTorch tutorials demonstrating modern techniques with readable code
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.