RangiLyu/nanodet
NanoDet-Plusβ‘Super fast and lightweight anchor-free object detection model. π₯Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphoneπ₯
Formerly focused on object detection algorithms, now specializing in large language models.
NanoDet-Plusβ‘Super fast and lightweight anchor-free object detection model. π₯Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphoneπ₯
Pytorch implementation of EfficientNet-lite. ImageNet pre-trained models are provided.
non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]
An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM, Llama, Baichuan, Qwen, ChatGLM)
The fastest repo in history to surpass 50K stars β, reaching the milestone in just 2 hours after publication. Better Harness Tools, not merely storing the archive of leaked Claude Code but also make real things done. Now rewriting in Rust.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Training LLaMA language model with MMEngine! It supports LoRA fine-tuning!
A Scientific Multimodal Foundation Model
OpenMMLab Detection Toolbox and Benchmark
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
SGLang is a fast serving framework for large language models and vision language models.
Official release of InternLM2 7B and 20B base and chat models. 200K context support
OpenCompass is an LLM evaluation platform, supporting a wide range of models (InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
A lightweight framework for building LLM-based agents
A unified evaluation library for multiple machine learning libraries
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
YOLOv8 π in PyTorch > ONNX > CoreML > TFLite
OpenMMLab YOLO series toolbox and benchmark
OpenMMLab Model Deployment Framework
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TVMScript kernel for deformable attention
OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.
OpenMMLab FewShot Learning Toolbox and Benchmark
OpenMMLab optical flow toolbox and benchmark
OpenMMLab Pose Estimation Toolbox and Benchmark.