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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Making large AI models cheaper, faster and more accessible
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Image-to-Image Translation in PyTorch
Datasets, Transforms and Models specific to Computer Vision
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A faster pytorch implementation of faster r-cnn
🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型
Most popular metrics used to evaluate object detection algorithms.
StyleGAN2-ADA - Official PyTorch implementation
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
OpenMMLab Pre-training Toolbox and Benchmark
Paper and implementation of UNet-related model.
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Codes for paper "Mask Scoring R-CNN".
Open source tools for computational pathology - Nature BME
A PyTorch implementation of the architecture of Mask RCNN
Pytorch implementation of Center Loss
中文法律LLaMA (LLaMA for Chinese legel domain)
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.