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StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
An experimental platform for federated learning.
The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
This repository contains all the implementation of different papers on Federated Learning
EasyLiterature is an open-sourced, Python-based command line tool for automatic literature management.
Implementation of Denoising Diffusion Probabilistic Models in PyTorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
Python code for training fair logistic regression classifiers.
A Python package to assess and improve fairness of machine learning models.
Pytorch implementation of Wasserstein GANs with Gradient Penalty
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Tools to Design or Visualize Architecture of Neural Network
A collection of various deep learning architectures, models, and tips
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.