[CVPR2020] Adversarial Latent Autoencoders

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A Collection of Variational Autoencoders (VAE) in PyTorch.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

This is an open sourced book on deep learning.

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

Unofficial PyTorch implementation of BlazeFace

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

A PyTorch Implementation of "Everybody Dance Now" from Berkeley AI lab.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

pytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .

Pytorch deep learning face frontalization model

Generating RGB photos from RAW image files with PyNET (PyTorch)

Transformer for Graph Classification (in Pytorch and Tensorflow)

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (In Pytorch and Tensorflow)

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".