Machine Learning · GitHub

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

历年ICLR论文和开源项目合集，包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

DenseNet Implementation in Tensorflow

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

[ICLR 2026] The implementation of the paper Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

A New Optimization Technique for Deep Neural Networks

[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation

A curated list of data science educational resources for essential data science skills

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

斯坦福机器学习完整 python 实现

深度学习工程师生存指南

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Conformalized Quantile Regression