331 Open source projects that are alternatives of or similar to TensorFlow-Autoencoders

arxiv.org/abs/1801.07710v2

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

Colorizing B&W Photos with Neural Networks

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

A simple neural net implementation.

List of Data Science and Machine Learning Resource that I frequently use

🌶️ An ecosystem in Python for working with the Biological Expression Language (BEL)

Bayesian neural networks in PyTorch

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

Functions for phylogenetic analyses

This repository contains notes and projects of Data scientist track from dataquest course work.

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Another A/B test library

Quick definitions and intuitive explanations around machine learning.

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

netural === neural net, simple AI for the web.

No description or website provided.

This repo is part of a series of blog post titled "Nothing but NumPy"

A Python wrapper around FaceApp 😔 → 😀

An SDN application that gives its user the ability to control flows in an OpenFlow network without coding.

Penney's Game

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Neural network library written in C and Javascript

Open and collaborative tutorials for Gephi

AE and VAE Playground in PyTorch

Probability bonus for daily rewards Unity

CmdStanR: the R interface to CmdStan

Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"

Create synthetic populations for COVID-19 epidemic analyses.

Xor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

Social media share buttons for ReactJS. Use one of the built-in button themes or create a custom one from scratch.

Noisy network measurement with stan

BAS R package https://merliseclyde.github.io/BAS/

Fast & numerically stable statistical analysis

Yet another markov chain sentence generator

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

Interactive Visual Machine Learning Demos.

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

cheat sheet for Artificial Intelligence

Graph convolution with tf.keras

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

Noise removal from images using Convolutional autoencoder

This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Experiments with Adversarial Autoencoders using Keras

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Tips and resources to easily pass the "Computer Networks" practical exam ("Reti di calcolatori") in Padua

Coq library for reasoning on randomized algorithms [maintainers=@anton-trunov,@volodeyka]

Learning about Haskell with Variational Autoencoders

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Infinite Zoom For Style Transfer

Shared Latent Space VAE's

Mini stats toolkit for Clojure/Script