804 Open source projects that are alternatives of or similar to Tensorflow Mnist Gan Dcgan

A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)

The Pytorch Implementation of L-Softmax

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

Conversational AI Reading Materials

A simple library that implements CLIP guided loss in PyTorch.

TensorFlow GAN implementation using Gumbel Softmax

🤖A list of resources to help anyone getting started with GANs 🤖

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

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

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

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Anime Generation

A realtime digit OCR on the browser using Machine Learning

A clean and readable Pytorch implementation of CycleGAN

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Tensorflow-based framework to ease training of generative models

Masking GAN - Image attribute mask generation

Repository for implementation of generative models with Tensorflow 1.x

深度学习入门教程, 优秀文章, Deep Learning Tutorial

ECE 535 - Course Project, Deep Learning Framework

Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

A collection of deep learning tutorials using Tensorflow and Python

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

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Implementation of a neural network from scratch in python.

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

Path Planning using Generative Adversarial Network (GAN)

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

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

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Voice Conversion using Cycle GAN's For Non-Parallel Data

Colorization of grayscale images using CycleGAN in TensorFlow.

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Gluon CV Toolkit

StarNet

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

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

gail, infogail, hierarchical gail implementations

One-Shot Learning with Triplet CNNs in Pytorch

Generative Adversarial Text to Image Synthesis / Please Star -->

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Lagrangian VAE

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow

Project Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'

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

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