380 Open source projects that are alternatives of or similar to genstar

Implementation of normalising flows and constrained random variable transformations

Synthetic data for computer vision. An open source toolkit using Blender and Python.

This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

Explore legislation formulas and parameters.

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Classifica nomes por gênero de acordo com API do IBGE

My GitHub blog: things you might be interested, and probably not...

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

yet another custom data science template via cookiecutter

Materials for my my R data workshop. https://cengel.github.io/R-data-wrangling/

📁 Extract, Transform, Load (ETL) 👷 refers to a process in database usage and especially in data warehousing. This repository contains a starter kit featuring ETL related work.

Extensible Combinatorial Optimization Learning Environments

VCF2Dis: A new simple and efficient software to calculate p-distance matrix based Variant Call Format

Benchmarking synthetic data generation methods.

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

Nested Sampling post-processing and plotting

Bayesian inference for Gaussian mixture model with some novel algorithms

Analyse academic and non-academic information of students and predict grades

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Repository for the course on Udemy - Python for Data Science and Machine Learning Bootcamp , Jose Portilla

Vectorized Machine Learning in Python 🐍 From Scratch

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

The Trendiness of Trends

Deodorant: Solving the problems of Bayesian Optimization

The Declarative Data Generator

Summarize Massive Datasets using Submodular Optimization

Genetics (Initialization, Selection, Crossover, Mutation)

Natural Gradient, Variational Inference

Powerful product analytics for data teams, with full control over data & models.

Parallel nested sampling

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Data preprocessing scripts and preprocessed data storage for COVID-19 Scenarios project

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Data-driven Network-based Bayesian Inference of Drivers

An Open Platform for Population Synthesis

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

Traveling Salesman Problem Using Parallel Genetic Algorithms

Material for a workshop on Bayesian stats with R

Code and Notes for fat-tailed statistics.

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

Docker Environment for data science

No description or website provided.

Snorkel - Bootstrap your Data Science

Start a data science project with modern tools

R Code Examples Multi-dimensional/Panel Data

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

Blang's software development kit

A biggest collection of free books and other resources for R programming

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

A guide to getting started with Data Science and ML.

Metrics to evaluate quality and efficacy of synthetic datasets.

Reinforcement learning environment for the classical synthesis of quantum programs.

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.

Hypothesis and statistical testing in Python

Ops and deployment resources for MOJ Analytics platform