#
Starred repositories
73
stars
written in Python
Clear filter
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
High-Resolution Image Synthesis with Latent Diffusion Models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
deep learning for image processing including classification and object-detection etc.
Image-to-Image Translation in PyTorch
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Open standard for machine learning interoperability
Datasets, Transforms and Models specific to Computer Vision
Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Pytorch implementation of convolutional neural network visualization techniques
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Utilities intended for use with Llama models.