- Beijing, PR China
- https://github.com/stoneyang
Starred repositories
Open-source, community-driven agent harness
Mesh optimization library that makes meshes smaller and faster to render
150.0.7871.24,149.0.7827.22,148.0.7778.56,147.0.7727.24,146.0.7680.66,145.0.7632.26,144.0.7559.96,143.0.7499.40,142.0.7444.59,141.0.7390.65, 140.0.7339.80 ,139.0.7258.66 ,138.0.7204.49,137.0.7151.6…
B站收藏夹RAG知识库:收藏不吃灰,B 站收藏夹 → 语音转写 → 向量检索 → 对话问答
Awesome Resources for Advanced Computer Vision Topics
A curated list of awesome libraries, frameworks, tools, datasets, and research papers in computer vision, covering topics such as object detection, image segmentation, 3D vision, and more.
A curated list of awesome computer vision resources
🇨🇳 GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
A Python library for solving reCAPTCHA v2 and v3 with Playwright
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, and Online KMS activation methods, along with advanced troubleshooting.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Python based web automation tool. Powerful and elegant.
stoneyang / cv-arxiv-daily
Forked from Vincentqyw/cv-arxiv-daily🎓Automatically Update CV Papers Daily using Github Actions (Update Every 24th hours)
🎓Automatically Update CV Papers Daily using Github Actions
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
[ECCV2022] Contrastive Vision-Language Pre-training with Limited Resources
Google AI 2018 BERT pytorch implementation
TensorFlow code and pre-trained models for BERT
OpenMMLab Detection Toolbox and Benchmark
A python library for generating annotations in the PASCAL VOC format.
[CVPR 2021] Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach