652 Open source projects that are alternatives of or similar to Generative Evaluation Prdc

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Semantic Image Inpainting

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

A stable algorithm for GAN training

Pytorch implementation of CycleGAN.

Generative Adversarial Networks in PyTorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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..

Spectral Normalization for Keras Dense and Convolution Layers

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

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

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Assessing Generative Models via Precision and Recall (official repository)

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

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

My pytorch implementation for GAN

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

TriangleGAN, ACM MM 2019.

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Stacked Generative Adversarial Networks

Tensorflow-based framework to ease training of generative models

Improving MMD-GAN training with repulsive loss function

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

[CVPR2020] Adversarial Latent Autoencoders

Anime Generation

Conditional GAN for Anime face generation.

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

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

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Projecting images to latent space with StyleGAN2.

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A Pytorch implementation of Stylegan2 with UNet Discriminator

Jun 2020 scikit-learn sprint

Privacy-preserving generative deep neural networks support clinical data sharing

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

SpecGAN - generate audio with adversarial training

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

Handwritten Chinese Characters Generation

Tensorflow re-implementation of GAN for text summarization

Disentangled Makeup Transfer with Generative Adversarial Network

videos, lectures, blogs for Deep Learning

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

A version of eval for R that returns more information about what happened

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

A web porting for NVlabs' StyleGAN.

Deep Markov Models

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Discovering Interpretable GAN Controls [NeurIPS 2020]

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

SQL Eval Function | Dynamically Evaluate Expression in SQL Server using C# Syntax

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

GANs for time series generation in pytorch

GAAL-based Outlier Detection