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Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch Tutorial for Deep Learning Researchers
OpenMMLab Detection Toolbox and Benchmark
⚡ A Fast, Extensible Progress Bar for Python and CLI
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Graph Neural Network Library for PyTorch
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
End-to-End Object Detection with Transformers
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A collaboration friendly studio for NeRFs
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Object detection, 3D detection, and pose estimation using center point detection:
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility