150 Open source projects that are alternatives of or similar to MLExp

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

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

Bayesian nonparametric models for python

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

The sample question for Interview a job in Binary options

A library for graph analysis written Julia.

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

AgentPy is an open-source framework for the development and analysis of agent-based models in Python.

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

Implementations of the ICML 2017 paper (with Yarin Gal)

View biological networks via Cytoscape.js and sbgn-ml

Materials of the Nordic Probabilistic AI School 2019.

Latent Dirichlet Allocation

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

Markov random fields with covariates

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

Live Video Streaming Made Easy!

A common framework for implementing and using log densities for inference.

Exam Prep for the Ec-council Certified Ethical Hacker 312-50

Open and collaborative tutorials for Gephi

Statistical Rethinking course in pymc3

Tutorials for Machine Learning on Graphs

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Framework for estimating temporal properties of music tracks.

MTfit code for Bayesian Moment Tensor Fitting

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.

A Python wrapper around FaceApp 😔 → 😀

NetworkX-based Python library for representing ontologies

Model-based subclonal deconvolution from bulk sequencing.

Bindings for Bayesian TidyModels

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

Project is in active development and has been moved to the EthereumJS VM monorepo.

An HTTP and HTTPS sniffing tool created using a Raspberry Pi

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Mini stats toolkit for Clojure/Script

Bayesian spatial analysis

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

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

Hidden Markov models in PyMC3

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

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

Python package to compute economic complexity and associated variables

사회과학자를 위한 데이터과학 방법론 (코드 저장소)

🌿 Data structures for JavaScript

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

Rogue Access Point Detector

Multi-core BUGS for fast Bayesian inference of large hierarchical models

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Functions for phylogenetic analyses

Plant Disease Identification Using Convulutional Neural Network

Exploratory analysis of Bayesian models with Julia

Artwork Classifier based on a Tensorflow Deep Neural Network

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

Lesson material on data science and machine learning topics/concepts

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

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

Graph convolution with tf.keras

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