676 Open source projects that are alternatives of or similar to Tf Exercise Gan

Toolbox of models, callbacks, and datasets for AI/ML researchers.

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

Generating Cat images using StyleGAN

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Useful python NLP tools (evaluation, GUI interface, tokenization)

An AI for Music Generation

Keras implementation of 3D Generative Adversarial Network.

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Introduction to Generative Adversarial Networks

A free audio dataset of spoken digits. Think MNIST for audio.

Applied Deep Learning (2019 Spring) @ NTU

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

TensorFlow GAN implementation using Gumbel Softmax

Continious Generative Adversarial Network

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Awesome paper list with code about generative adversarial nets

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.

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

a MUSHRA compliant web audio API based experiment software

Facial Expression Editing with Controllable Expression Intensity

ECE 535 - Course Project, Deep Learning Framework

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

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:

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

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

Speech Enhancement Generative Adversarial Network in TensorFlow

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

FuzzBench - Fuzzer benchmarking as a service.

The accompanying code and data for the Springer 2017 publication "What's missing in geographical parsing?" in Language Resources and Evaluation.

Fast and lightweight math expression evaluator in C99

Unofficial implementation of StyleGAN's generator

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Spectral Normalization and Projection Discriminator

Discovering Interpretable GAN Controls [NeurIPS 2020]

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

Examples trained using the python pytorch package pro-gan-pth

Chainer implementation of recent GAN variants

A repository for recording the machine learning code

PyTorch implementation of CycleGAN

A timeline showing the development of Generative Adversarial Networks (GAN).

Implementation of the mixup training method

StyleGAN 2 in Tensorflow 2.0