WILLOSCAR's repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
annotated_deep_learning_paper_implementations
🧑🏫 50! 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, ... 🧠
awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Awesome-pytorch-list-CNVersion
Awesome-pytorch-list 翻译工作进行中......
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepLearning_LHY21_Notes
深度学习 李宏毅 2021 学习笔记
HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目（5 周年）
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
PyContrast
PyTorch implementation of Contrastive Learning methods
python-guide
Python best practices guidebook, written for humans.
python3-cookbook
《Python Cookbook》 3rd Edition Translation
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.