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

Generative Adversarial Networks (GANs) resources sorted by citations

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Keras implementations of Generative Adversarial Networks.

Generator loss to reduce mode-collapse and to improve the generated samples quality.

DGMs for NLP. A roadmap.

Collection of generative models in Tensorflow

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Guided Conditional Wasserstein GAN for De Novo Protein Design

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Network-to-Network Translation with Conditional Invertible Neural Networks

Pytorch implementation of pix2pix for various datasets.

Periodic Spatial Generative Adversarial Networks

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

A Tensorfflow implementation of Attend, Infer, Repeat

An implementation of DiscoGAN in tensorflow

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

The author's officially unofficial PyTorch BigGAN implementation.

DEPRECATED: Depth Map Estimation from Monocular Images

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Generative Adversarial Transformers

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Pytorch implementation of Generated Image Quality Assessment

No description or website provided.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Speech Enhancement Generative Adversarial Network in TensorFlow

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Deep Learning over PyTorch

CSGNet: Neural Shape parser for Constructive Solid Geometry

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

A collaboratively written review paper on deep learning, genomics, and precision medicine

An open-source platform for automating tasks using machine learning models

Distributed Learning by Pair-Wise Averaging

The notes for Math, Machine Learning, Deep Learning and Research papers.

Self-organizing maps in Go

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

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

Machine learning and data science blog.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Highway networks implemented in PyTorch.

Deep Learning tools for brain medical images

🏖 Keras Implementation of Painting outside the box

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

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

Interactive Classification for Deep Learning Interpretation

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Crystal Graph Neural Networks

Self driving cars using NEAT

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Code for the Lovász-Softmax loss (CVPR 2018)

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks