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Wuhan University
- Wuhan,Hubei,China
- liyemei.org
Stars
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
🔥 2D and 3D Face alignment library build using pytorch
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Official PyTorch implementation of StyleGAN3
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A simple, fully convolutional model for real-time instance segmentation.
Count the MACs / FLOPs of your PyTorch model.
Production First and Production Ready End-to-End Speech Recognition Toolkit
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
StyleGAN2-ADA - Official PyTorch implementation
Fast data visualization and GUI tools for scientific / engineering applications
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
A collection of loss functions for medical image segmentation
Tensorflow prebuilt binary for Windows
中文古诗自动作诗机器人,x炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Official PyTorch implementation of SegFormer
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
DeepLab v3+ model in PyTorch. Support different backbones.
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX