Stars
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
[CVPR 2025] A Comprehensive Benchmark for Document Parsing and Evaluation
A leaky integrate-and-fire computational model of the Drosophila brain
Qwen3.6 is the large language model series developed by Qwen team, Alibaba Group.
RepVGG: Making VGG-style ConvNets Great Again
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
PyTorch implementation of JiT https://arxiv.org/abs/2511.13720
Native Multimodal Models are World Learners
[ICCV 2025 Best Paper] Official repository for BrickGPT, the first approach for generating physically stable toy brick models from text prompts.
Official implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models"
【❤️ 互联网大厂技术分享PPT 👍🏻 持续更新中！】🍻各大技术交流会、活动资料汇总 ，如 👉QCon👉全球运维技术大会 👉 GDG 👉 全球技术领导力峰会👉大前端大会👉架构师峰会👉敏捷开发DevOps👉OpenResty👉Elastic，欢迎 PR / Issues
This is probably the best web presentation tool so far!
北京航空航天大学(北航)课程作业资料共享计划
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
[ACL 2024] ChartAssistant is a chart-based vision-language model for universal chart comprehension and reasoning.
Everything about the SmolLM and SmolVLM family of models
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
An arbitrary face-swapping framework on images and videos with one single trained model!
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
[NeurIPS 2025] Mask Image Watermarking (Official Implementation)
This is the official implementation of our paper: "MiniMax-Remover: Taming Bad Noise Helps Video Object Removal"