715 Open source projects that are alternatives of or similar to Torchgan

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

A neural network for end-to-end speech denoising

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

Official implementation of Dynamical VAEs

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

TriangleGAN, ACM MM 2019.

A VAE written entirely in Numpy/Cupy

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Message Passing Neural Networks for Molecule Property Prediction

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Variational autoencoder for anomaly detection (in PyTorch).

darknet neural network addon for openFrameworks

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

Deep Learning tools for brain medical images

This is a pix2pix demo that learns from edge and translates this into view. A interactive application is also provided that translates edge to view.

Deep Learning Specialization by Andrew Ng on Coursera.

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

InceptionTime: Finding AlexNet for Time Series Classification

Public release of data and code for materials synthesis generation

A collection of Bayesian data analysis recipes using PyMC3

CSGNet for voxel based input

🏖 Keras Implementation of Painting outside the box

No description or website provided.

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

GPU accelerated Deep Belief Network

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Zero Shot Learning with Feature Generating Networks

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Pytorch implementation of CycleGAN.

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Interactive Classification for Deep Learning Interpretation

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Official repository for the ShapeFormer Project

Training a MNIST classifier, and use it to compute inception score (ICP)

Listing my favorite research papers 📝 from different fields as I read them.

DN2A - Digital Neural Networks Architecture

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

Crystal Graph Neural Networks

OCR engine for all the languages

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Grokking Deep Reinforcement Learning

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

PyTorch implementation of CycleGAN

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Python implementation of soft-DTW.

Segmentation models with pretrained backbones. PyTorch.