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Language: Python
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All Algorithms implemented in Python
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
StyleGAN - Official TensorFlow Implementation
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
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.
🔥 2D and 3D Face alignment library build using pytorch
Real-Time High-Resolution Background Matting
StyleGAN2-ADA - Official PyTorch implementation
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Solving the Traveling Salesman Problem using Self-Organizing Maps
LPIPS metric. pip install lpips
Denoising Diffusion Probabilistic Models
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
Flops counter for convolutional networks in pytorch framework
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
VMamba: Visual State Space Models,code is based on mamba
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two