A curated (most recent) list of resources for Learning with Noisy Labels

Taming Transformers for High-Resolution Image Synthesis

[ICLR 2025] ControlAR: Controllable Image Generation with Autoregressive Models

Collaborative Learning of Sample Selection and Robust Functions for Noisy Labels

📖【译】UCB CS61a SICP Python

NJU 操作系统: 设计与实现

北京大学 2023 年秋计算机系统导论课程（ICS）作业、笔记、经验

李宏毅2021/2022/2023春季机器学习课程课件及作业

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

To practice your competitive programming skills, try solving daily Codeforces problems!

A game where you are a computer's OS and you have to manage processes, memory and I/O events.

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite