Lists (4)
Stars
[AAAI'23 & IJCV'25] This repo is an implementation of PyTorch version YOLOV Series
[NeurIPS2024] Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
[ICCV2025] Harnessing CLIP, DINO and SAM for Open Vocabulary Segmentation
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
Papers about explainability of GNNs
A collection of graph foundation models including papers, codes, and datasets.
Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
An elegant PyTorch offline reinforcement learning library for researchers.
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Benchmarks and examples for the Nemo rule reasoner
Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Curated papers on Large Language Models in Healthcare and Medical domain
awesome grounding: A curated list of research papers in visual grounding
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。
Data and codes for faithful rule extraction.
Awesome-LLM: a curated list of Large Language Model
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.