Open-Sora: Democratizing Efficient Video Production for All

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

CLIP + VQGAN / PixelDraw

Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

Open-source toolbox for visual fashion analysis based on PyTorch

Video dataset class for loading videos in PyTorch using Dataloader

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework

A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp im…

Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

A User Interface for DETR built with Dash. 100% Python.

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

📦 내가 시킨 택배가 어디까지 왔는지 확인해보세요

A complete Pixel2Mesh implementation in PyTorch

Official PyTorch implementation of "End to End Trainable Active Contours via Differentiable Rendering"

PyTorch for Semantic Segmentation

PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

PyTorch implementations of Generative Adversarial Networks.

Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.

CODE OF 'MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions'