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Institute of Automation Chinese Academy of Sciences
- BEIJING, CHINA
- https://bitcats.github.io/
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💫 Toolkit to help you get started with Spec-Driven Development
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Free ChatGPT&DeepSeek API Key,免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API,支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。
OpenMMLab Detection Toolbox and Benchmark
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Python Implementation of Reinforcement Learning: An Introduction
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Firefly: 大模型训练工具,支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
On-device AI across mobile, embedded and edge for PyTorch
[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling