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annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-contrastive-learning

Awesome Contrastive Learning for CV & NLP

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

deep-learning-2018

deep-learning-papers-for-fish

a list of pappers in deep learning for new-comes.

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dress

DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf

examples

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

fastai

The fastai deep learning library, plus lessons and tutorials

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

github-slideshow

A robot powered training repository :robot:

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

groundhog

Library for implementing RNNs with Theano

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

inversecooking

Recipe Generation from Food Images

kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

neural-style

Torch implementation of neural style algorithm

nlp-progress

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

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code