6657 Open source projects that are alternatives of or similar to Keras Acgan

Deep learning codes and projects using Python

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Fast and flexible AutoML with learning guarantees.

Kaggle Data Science Bowl 2018

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

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

The implementation of Relativistic average GAN with Keras

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

Projecting images to latent space with StyleGAN2.

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

🛠 All-in-one web-based IDE specialized for machine learning and data science.

An open-source, low-code machine learning library in Python

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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

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

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

Memory efficient MAML using gradient checkpointing

Tutorial on creating your own GAN in Tensorflow

PyTorch tutorials A to Z

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

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

kmeans using PyTorch

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

Comparison tools

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..

DCGAN image generator 🖼️.

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Grokking Deep Reinforcement Learning

Tutorial on GANs

Solve captcha without manually labeling a training set

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

The fastai deep learning library

On the "steerability" of generative adversarial networks

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

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

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

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

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Coherent Semantic Attention for image inpainting(ICCV 2019)

A community run, 5-day PyTorch Deep Learning Bootcamp

A collection of code examples as well as presentations for training purposes

Privacy-preserving generative deep neural networks support clinical data sharing

Discovering Interpretable GAN Controls [NeurIPS 2020]

Spectral Normalization for Keras Dense and Convolution Layers

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

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

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

jupyter/ipython experiment containers for GPU and general RAM re-use

A real time optical flow algorithm implemented on GPU

GPU accelerated cross filtering with cuDF.

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

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

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

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

A stable algorithm for GAN training