7030 Open source projects that are alternatives of or similar to Relativistic Average Gan Keras

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

[CVPR2020] Adversarial Latent Autoencoders

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..

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

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

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.

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

A modern PyTorch implementation of SRGAN

Deep Learning Projects that Build Themselves

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

A one-stop repository for low-code easily-installable object detection pipelines.

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

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

PyTorch Tutorial (1.7)

Train a state-of-the-art yolov3 object detector from scratch!

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Little More Advanced TensorFlow Implementations

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Multiple implementations for abstractive text summurization , using google colab

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

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

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Tutorial on creating your own GAN in Tensorflow

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

An extremely simple generative adversarial network, built with TensorFlow

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

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

A collection of deep learning tutorials using Tensorflow and Python

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome Generative Adversarial Networks with tensorflow

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

a tensorflow implementation of WGAN

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

Early stopping for PyTorch

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.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

deeplearning.ai , By Andrew Ng, All video link

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

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

T2F: text to face generation using Deep Learning

深度学习笔记

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

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

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

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)