Python - 100天从新手到大师

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

程序员延寿指南 | A programmer's guide to live longer

Neural Networks: Zero to Hero

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

verl: Volcano Engine Reinforcement Learning for LLMs

AI实战-practicalAI 中文版

PyTorch deep learning projects made easy.

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Quantitative analysis, strategies and backtests

兜哥出品 <一本开源的NLP入门书籍>

Public quant internship repository, maintained by NUFT but available for everyone.

NLP新手入门教程

Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Highlight).

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

A curated list of awesome papers on dataset reduction, including dataset distillation (dataset condensation) and dataset pruning (coreset selection).

Source code for a C++ coursework of Jiachen Fu.

Automatically register courses for UIUC students (cheats)

Workspace for CS357