646 Open source projects that are alternatives of or similar to Lr Gan.pytorch

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Human Video Generation Paper List

generative adversarial nets for neural machine translation

A curated list of community detection research papers with implementations.

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

StarNet

Using Machine Learning to predict the type of exercise from movement data

Awesome GAN for Medical Imaging

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Complete-Life-Cycle-of-a-Data-Science-Project

Projecting images to latent space with StyleGAN2.

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

speech to text with self-supervised learning based on wav2vec 2.0 framework

[NeurIPS 2019] Spherical Text Embedding

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

Training and evaluating a variational autoencoder for pan-cancer gene expression data

🙄 Difficult algorithm, Simple code.

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

An extensive machine learning library, made from scratch (Python).

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

A repository to keep track of all the code that I end up writing for my blog posts.

A Pytorch implementation for the ZeroSpeech 2019 challenge.

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Facial Expression Editing with Controllable Expression Intensity

This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

3D super-resolution using Generative Adversarial Networks

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

A very simple generative adversarial network (GAN) in PyTorch

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Python Framework for Extractive Text Summarization

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Chainer implementation of Wasserstein GAN

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Focal Frequency Loss for Generative Models

SpecGAN - generate audio with adversarial training

Convolutional Autoencoder for Loop Closure

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

Re-implement CycleGAN in Tensorlayer

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)

Discovering Interpretable GAN Controls [NeurIPS 2020]

Modified h5tool.py make user getting celeba-HQ easier

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

A MNIST-like fashion product database. Benchmark 👇

code/webpage for the DeepMapping project

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis