The official Meta Llama 3 GitHub site

Official Code for Stable Cascade

awesome confidence calibration paper list

A simple way to calibrate your neural network.

Pretrained TorchVision models on CIFAR10 dataset (with weights)

[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Benchmarking Generalized Out-of-Distribution Detection

StyleGAN2-ADA - Official PyTorch implementation

Compute FID scores with PyTorch.

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

The Official Repository for "Generalized OOD Detection: A Survey"

source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

PyTorch implementations of Generative Adversarial Networks.

Curated list of awesome GAN applications and demo

The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

Official PyTorch implementation of StyleGAN3

[TPAMI 2022] GAN Inversion: A Survey

[ICLR'21] Counterfactual Generative Networks

StyleGAN - Official TensorFlow Implementation

A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech