This is a dataset of corgi images scraped from the corgi subreddit. After filtering using an ImageNet classifier, the training set consists of 622,663 crops of 26,418 images.
This repository includes PyTorch Dataset implementations for downloading and using this dataset. The sole purpose of this dataset is to facilitate easier and faster fine-tuning of generative models to produce adorable corgis.
Pytorch Geometric Tutorials
DS3L This is the code for paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020. Setups The code is implem
PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction International Conference on 3D Vision, 2020 Sai Sagar Jinka1, Rohan
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval This repo provides personal implementation of paper Approximate Ne
genshin-assets This repo provides easy access to the Genshin Impact assets, primarily for use on static sites. Sources Genshin Optimizer - An Artifact
2021-Deep-learning This tutorial aims to learn the basics of deep learning by hands, and master the basics through combination of paper and exercises.
FrankMocap pursues an easy-to-use single view 3D motion capture system developed by Facebook AI Research (FAIR). FrankMocap provides state-of-the-art 3D pose estimation outputs for body, hand, and bo
memory_efficient_attention.pytorch A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory" (Rabe&Staats'21). def effic
Copyright © German Cancer Research Center (DKFZ), Division of Medical Image Computing (MIC). Please make sure that your usage of this code is in compl
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
Ladder Variational Autoencoders (LVAE) PyTorch implementation of Ladder Variational Autoencoders (LVAE) [1]: where the variational distributions q at
A cool little repl-based simulation written in Python planned to integrate machine-learning into itself to have AI battle to the death before your eye
NeuPy v0.8.2 NeuPy is a python library for prototyping and building neural networks. NeuPy uses Tensorflow as a computational backend for deep learnin
Deep-Burst-SR Official implementation of Deep Burst Super-Resolution Publication: Deep Burst Super-Resolution. Goutam Bhat, Martin Danelljan, Luc Van
LM diagnostics This repository contains the diagnostic datasets and experimental code for What BERT is not: Lessons from a new suite of psycholinguist
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis [Paper] [Online Demo] The following results are obtained by our SCUNet with purely syn
Cervix ROI Segmentation Using U-NET Overview This code illustrate how to segment the ROI in cervical images using U-NET. The ROI here meant to include
face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa
This is an unofficial PyTorch implementation of Meta Pseudo Labels. The official Tensorflow implementation is here.
Scaling Vision with Sparse Mixture of Experts This repository contains the code for training and fine-tuning Sparse MoE models for vision (V-MoE) on I
648 Jan 08, 2023
36 Oct 19, 2022
39 Oct 12, 2022
8 Oct 07, 2022
5 Nov 22, 2022
108 Feb 24, 2022
1.9k Jan 07, 2023
7 Dec 26, 2022
40 Dec 18, 2022
16.5k Jan 08, 2023
63 Dec 22, 2022
6 Sep 17, 2022
729 Jan 03, 2023
113 Dec 19, 2022
61 Jan 02, 2023
312 Jan 07, 2023
35 Sep 14, 2022
3.1k Jan 04, 2023
320 Jan 08, 2023
290 Dec 25, 2022