Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Some basic examples of playing with RL

[ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

YuLan: An Open-Source Large Language Model

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Must-read papers on prompt-based tuning for pre-trained language models.

A collection of resources and papers on Diffusion Models

some old code that i wrote, might be useful to others

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

A curated list of awesome deep long-tailed learning resources.

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Classic papers for beginners, and impact scope for authors.

python scripts to convert labelme-generated-jsons to voc/coco style datasets.

notes about machine learning

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归