Pinned Repositories
annotated-transformer
An annotated implementation of the Transformer paper.
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-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
bert
TensorFlow code and pre-trained models for BERT
BertWithPretrained
基于PyTorch框架实现的BERT模型及其相关下游微调任务（Bert PyTorch Implementation）
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60多个国家的400多所大学用于教学。
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
whoam-challenge's Repositories
whoam-challenge/annotated-transformer
An annotated implementation of the Transformer paper.
whoam-challenge/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, ... 🧠
whoam-challenge/awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
whoam-challenge/awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
whoam-challenge/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
whoam-challenge/bert
TensorFlow code and pre-trained models for BERT
whoam-challenge/BertWithPretrained
基于PyTorch框架实现的BERT模型及其相关下游微调任务（Bert PyTorch Implementation）
whoam-challenge/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60多个国家的400多所大学用于教学。
whoam-challenge/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
whoam-challenge/eng-practices
Google's Engineering Practices documentation
whoam-challenge/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
whoam-challenge/LeetCode-1
LeetCode刷题记录与面试整理
whoam-challenge/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
whoam-challenge/LeetCode-Solutions-in-Good-Style
首页已经更新，希望能对大家有帮助。
whoam-challenge/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
whoam-challenge/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
whoam-challenge/ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
whoam-challenge/NLP-Interview-Notes
该仓库主要记录 NLP 算法工程师相关的面试题
whoam-challenge/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
whoam-challenge/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
whoam-challenge/paper-reading
深度学习经典、新论文逐段精读
whoam-challenge/PythonPark
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
whoam-challenge/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
whoam-challenge/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
whoam-challenge/RecommenderSystem
whoam-challenge/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
whoam-challenge/statistic
collecting books, papers and docs.
whoam-challenge/tensorflow-handbook
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
whoam-challenge/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
whoam-challenge/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow