8017 Open source projects that are alternatives of or similar to Deep Learning Resources

The implementation of Relativistic average GAN with Keras

Spectral Normalization for Keras Dense and Convolution Layers

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

DCGAN image generator 🖼️.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Code for "A-NICE-MC: Adversarial Training for MCMC"

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

pytorch 包教不包会

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Awesome GAN for Medical Imaging

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

This toolbox is support material for the book on CNN (http://www.convolution.network).

Discovering Interpretable GAN Controls [NeurIPS 2020]

Privacy-preserving generative deep neural networks support clinical data sharing

Projecting images to latent space with StyleGAN2.

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

A stable algorithm for GAN training

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Deep learning codes and projects using Python

Solve captcha without manually labeling a training set

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

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

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Synthetic Data Generation for tabular, relational and time series data.

SpecGAN - generate audio with adversarial training

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

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

On the "steerability" of generative adversarial networks

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

An extremely simple generative adversarial network, built with TensorFlow

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Keras implementation of 3D Generative Adversarial Network.

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

links to conference publications in graph-based deep learning

Codes for weekly challenges on Deep Learning by Siraj

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..

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Tutorial on GANs

A simple probabilistic programming language.

The Simplest DCGAN Implementation

Create Anime Characters with MakeGirlsMoe

Machine Learning Practical course repository

A modern PyTorch implementation of SRGAN

Debugging, monitoring and visualization for Python Machine Learning and Data Science

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.