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Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
End-to-End Object Detection with Transformers
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A faster pytorch implementation of faster r-cnn
Example models using DeepSpeed
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
PyTorch deep learning projects made easy.
OpenMMLab Pre-training Toolbox and Benchmark
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Pre-trained word vectors of 30+ languages
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.
Implementations of few-shot object detection benchmarks
PyTorch implementation of RCG https://arxiv.org/abs/2312.03701
Flow-Guided Feature Aggregation for Video Object Detection