Harry's repositories
Stanford-NLP-W2019
Stanford NLP 2019 assignments
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
bash-guide
A guide to learn bash
CO673-CS794
Optimization for Data Science
ColossalAI
Making large AI models cheaper, faster and more accessible
cs246e-notes
Object oriented programming notes
DataCamp
DataCamp data-science courses
fish
https://yulegeyu.cn
github-readme-stats
:zap: Dynamically generated stats for your github readmes
Halite-III
Season 3 of @twosigma's artificial intelligence programming challenge
HarryHy
Config files for my GitHub profile.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
LeetCodeSolutions
Theoretical solutions for LeetCode problems.
machine-learning-interview
算法工程师-机器学习面试题总结
models
Models and examples built with TensorFlow
nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Prophet-Andrew-Ng
李鲁鲁老师对 吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版的实践
RL_Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
tree-of-thoughts
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%