6457 Open source projects that are alternatives of or similar to Alice

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

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

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

DCGAN image generator 🖼️.

Generalized linear mixed-effect model in Python

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

Tensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"

Pytorch implementation of CycleGAN.

Tutorial on GANs

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

How to do Bayesian statistical modelling using numpy and PyMC3

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Statistical Rethinking with PyTorch and Pyro

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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

Coherent Semantic Attention for image inpainting(ICCV 2019)

On the "steerability" of generative adversarial networks

TriangleGAN, ACM MM 2019.

A stable algorithm for GAN training

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

Tutorial on creating your own GAN in Tensorflow

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

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

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

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Projecting images to latent space with StyleGAN2.

The implementation of Relativistic average GAN with Keras

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

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

Scalable inference for a generative model of astronomical images

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

Simulation-based inference in PyTorch

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

Auxiliary Classifier Generative Adversarial Networks in Keras

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Deep learning codes and projects using Python

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

Pytorch implementation of BicycleGAN with implementation details

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..

Spectral Normalization for Keras Dense and Convolution Layers

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

Solve captcha without manually labeling a training set

A collection of Bayesian data analysis recipes using PyMC3

Variational autoencoders for collaborative filtering

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.

Bayesian Data Analysis demos for Python

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

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

PyMC3 educational resources

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

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

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

Fast and Easy Infinite Neural Networks in Python

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

Python package for computing the Curie depth from the magnetic anomaly

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"