659 Repositories
Python computational-science Libraries
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training models at scale. Hub is used by Google, Waymo, Red Cross, Oxford University, and Omdena.
Open-source library for analyzing the results produced by ABINIT
Package Continuous Integration Documentation About AbiPy is a python library to analyze the results produced by Abinit, an open-source program for the
🍋 A Python package to process food
Pyfood is a simple Python package to process food, in different languages. Pyfood's ambition is to be the go-to library to deal with food, recipes, on
Pandas and Spark DataFrame comparison for humans
DataComPy DataComPy is a package to compare two Pandas DataFrames. Originally started to be something of a replacement for SAS's PROC COMPARE for Pand
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
LynxKite: a complete graph data science platform for very large graphs and other datasets.
LynxKite is a complete graph data science platform for very large graphs and other datasets. It seamlessly combines the benefits of a friendly graphical interface and a powerful Python API.
Artificial Conversational Entity for queries in Eulogio "Amang" Rodriguez Institute of Science and Technology (EARIST)
🤖 Coeus - EARIST A.C.E 💬 Coeus is an Artificial Conversational Entity for queries in Eulogio "Amang" Rodriguez Institute of Science and Technology,
[PNAS2021] The neural architecture of language: Integrative modeling converges on predictive processing
The neural architecture of language: Integrative modeling converges on predictive processing Code accompanying the paper The neural architecture of la
Resources for teaching & learning practical data visualization with python.
Practical Data Visualization with Python Overview All views expressed on this site are my own and do not represent the opinions of any entity with whi
This library is a location of the LegacyLogger for PyTorch Lightning.
neptune-contrib Documentation See neptune-contrib documentation site Installation Get prerequisites python versions 3.5.6/3.6 are supported Install li
Example Code Notebooks for Data Visualization in Python
This repository contains sample code scripts for creating awesome data visualizations from scratch using different python libraries (such as matplotli
A Boilerplate repo for Scientific Python Open Science projects
A Boilerplate repo for Scientific Python Open Science projects Installation Clone this repo If you need a fresh python environment, run $ conda env cr
A tool for calculating distortion parameters in coordination complexes.
OctaDist Octahedral distortion calculator: A tool for calculating distortion parameters in coordination complexes. https://octadist.github.io/ Registe
AKShare is an elegant and simple financial data interface library for Python, built for human beings
AKShare is an elegant and simple financial data interface library for Python, built for human beings
Monitor the stability of a pandas or spark dataframe ⚙︎
Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.
CleverCSV is a Python package for handling messy CSV files.
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.
A pythonic interface to high-throughput virtual screening software
pyscreener A pythonic interface to high-throughput virtual screening software Overview This repository contains the source of pyscreener, both a libra
A Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library
gdsclient NOTE: This is a work in progress and many GDS features are known to be missing or not working properly. This repo hosts the sources for gdsc
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Zero to Mastery Machine Learning Welcome! This repository contains all of the code, notebooks, images and other materials related to the Zero to Maste
🔮 A usefull set of scripts to dig into your Discord data package.
Discord DataExtractor 🔮 Discord DataExtractor is a set of scripts that allows you to dig into your Discord Data package. Repository guide ☕ Coffee_Ga
A Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library
gdsclient This repo hosts the sources for gdsclient, a Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library. g
The aim is to contain multiple models for materials discovery under a common interface
Aviary The aviary contains: - roost, - wren, cgcnn. The aim is to contain multiple models for materials discovery under a common interface Environment
Feature Store for Machine Learning
Overview Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and
Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.
SymEngine Python Wrappers Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library. Installation Pip See License section
Political elections, appointment, analysis and visualization in Python
Political elections, appointment, analysis and visualization in Python poli-sci-kit is a Python package for political science appointment and election
BERT, LDA, and TFIDF based keyword extraction in Python
BERT, LDA, and TFIDF based keyword extraction in Python kwx is a toolkit for multilingual keyword extraction based on Google's BERT and Latent Dirichl
Functions for easily making publication-quality figures with matplotlib.
Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You
Computational Methods Course at UdeA. Forked and size reduced from:
Computational Methods for Physics & Astronomy Book version at: https://restrepo.github.io/ComputationalMethods by: Sebastian Bustamante 2014/2015 Dieg
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
Cross-Camera Convolutional Color Constancy, ICCV 2021 (Oral) Mahmoud Afifi1,2, Jonathan T. Barron2, Chloe LeGendre2, Yun-Ta Tsai2, and Francois Bleibe
Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources.
Illumination_Decomposition Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. This code implements the
A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful.
How useful is the aswer? A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful. If you want to l
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer) Introduction By applying the
Fit models to your data in Python with Sherpa.
Table of Contents Sherpa License How To Install Sherpa Using Anaconda Using pip Building from source History Release History Sherpa Sherpa is a modeli
Flow is a computational framework for deep RL and control experiments for traffic microsimulation.
Flow Flow is a computational framework for deep RL and control experiments for traffic microsimulation. See our website for more information on the ap
A hackerank problems, solution repository
This is a repository for all hackerank challenges kindly note this is for learning purposes and if you wish to contribute, dont hesitate all submision
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
HETU Documentation | Examples Hetu is a high-performance distributed deep learning system targeting trillions of parameters DL model training, develop
A computational block to solve entity alignment over textual attributes in a knowledge graph creation pipeline.
How to apply? Create your config.ini file following the example provided in config.ini Choose one of the options below to run: Run with Python3 pip in
Simulation and Parameter Estimation in Geophysics
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine Learning work with thousands of other users.
The collaboration platform for Machine Learning MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine
Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn
Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast
A Django app that creates automatic web UIs for Python scripts.
Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data anal
Random dataframe and database table generator
Random database/dataframe generator Authored and maintained by Dr. Tirthajyoti Sarkar, Fremont, USA Introduction Often, beginners in SQL or data scien
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.
A system for quickly generating training data with weak supervision
Programmatically Build and Manage Training Data Announcement The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI applicat
Flexible HDF5 saving/loading and other data science tools from the University of Chicago
deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt
A common, beautiful interface to tabular data, no matter the format
rows No matter in which format your tabular data is: rows will import it, automatically detect types and give you high-level Python objects so you can
MDAnalysis is a Python library to analyze molecular dynamics simulations.
MDAnalysis Repository README [*] MDAnalysis is a Python library for the analysis of computer simulations of many-body systems at the molecular scale,
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion
Machine Learning for Argument-Based Computational Persuasion This repo contains the source code and a benchmark for predicting user's utilities with M
Python Data Structures and Algorithms
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
Machine Learning automation and tracking
The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
Flyte Flyte is a workflow automation platform for complex, mission-critical data, and ML processes at scale Home Page · Quick Start · Documentation ·
Reproducible Data Science at Scale!
Pachyderm: The Data Foundation for Machine Learning Pachyderm provides the data layer that allows machine learning teams to productionize and scale th
Tools for computational pathology
A toolkit for computational pathology and machine learning. View documentation Please cite our paper Installation There are several ways to install Pa
A simple and lightweight genetic algorithm for optimization of any machine learning model
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
Applied Machine Learning for Graduate Program in Computer Science (PPGCC)
Applied Machine Learning for Graduate Program in Computer Science (PPGCC) - Federal University of Santa Catarina
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
LitMatter A template for rapid experimentation and scaling deep learning models on molecular and crystal graphs. How to use Clone this repository and
⚡ H2G-Net for Semantic Segmentation of Histopathological Images
H2G-Net This repository contains the code relevant for the proposed design H2G-Net, which was introduced in the manuscript "Hybrid guiding: A multi-re
Projeto job insights - Projeto avaliativo da Trybe do Bloco 32: Introdução à Python
Termos e acordos Ao iniciar este projeto, você concorda com as diretrizes do Código de Ética e Conduta e do Manual da Pessoa Estudante da Trybe. Boas
A simple and lightweight genetic algorithm for optimization of any machine learning model
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.
ML-and-DataScience-preparation This repository has the goal to create a learning and preparation roadMap for Machine Learning Engineers and Data Scien
Data Visualizer Web-Application
Viz-It Data Visualizer Web-Application If I ask you where most of the data wrangler looses their time ? It is Data Overview and EDA. Presenting "Viz-I
UF3: a python library for generating ultra-fast interatomic potentials
Ultra-Fast Force Fields (UF3) S. R. Xie, M. Rupp, and R. G. Hennig, "Ultra-fast interpretable machine-learning potentials", preprint arXiv:2110.00624
A website for courses of Major Computer Science, NKU
A website for courses of Major Computer Science, NKU
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Sacred Every experiment is sacred Every experiment is great If an experiment is wasted God gets quite irate Sacred is a tool to help you configure, or
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo
Visualize large time-series data in plotly
plotly_resampler enables visualizing large sequential data by adding resampling functionality to Plotly figures. In this Plotly-Resampler demo over 11
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
A simple API for working with University of California, Irvine (UCI) Machine Learning (ML) repository Table of Contents Introduction About Page of the
MS in Data Science capstone project. Studying attacks on autonomous vehicles.
Surveying Attack Models for CAVs Guide to Installing CARLA and Collecting Data Our project focuses on surveying attack models for Connveced Autonomous
Pipeline for training LSA models using Scikit-Learn.
Latent Semantic Analysis Pipeline for training LSA models using Scikit-Learn. Usage Instead of writing custom code for latent semantic analysis, you j
Learn to code in any language. If
Learn to Code It is an intiiative undertaken by Student Ambassadors Club, Jamshoro for students who are absolute begineers in programming and want to
Multiple Imputation with Random Forests in Python
miceforest: Fast, Memory Efficient Imputation with lightgbm Fast, memory efficient Multiple Imputation by Chained Equations (MICE) with lightgbm. The
Code for "On Memorization in Probabilistic Deep Generative Models"
On Memorization in Probabilistic Deep Generative Models This repository contains the code necessary to reproduce the experiments in On Memorization in
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms
MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is
Primitives for machine learning and data science.
An Open Source Project from the Data to AI Lab, at MIT MLPrimitives Pipelines and primitives for machine learning and data science. Documentation: htt
A benchmark dataset for emulating atmospheric radiative transfer in weather and climate models with machine learning (NeurIPS 2021 Datasets and Benchmarks Track)
ClimART - A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Official PyTorch Implementation Using deep le
[IEEE Transactions on Computational Imaging] Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting
Few-shot Deep HDR Deghosting This repository contains code and pretrained models for our paper: Self-Gated Memory Recurrent Network for Efficient Scal
Flexible time series feature extraction & processing
tsflex is a toolkit for flexible time series processing & feature extraction, that is efficient and makes few assumptions about sequence data. Useful
IMBENS: class-imbalanced ensemble learning in Python.
IMBENS: class-imbalanced ensemble learning in Python. Links: [Documentation] [Gallery] [PyPI] [Changelog] [Source] [Download] [知乎/Zhihu] [中文README] [a
Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".
Variational Gibbs inference (VGI) This repository contains the research code for Simkus, V., Rhodes, B., Gutmann, M. U., 2021. Variational Gibbs infer
Empresas do Brasil (CNPJs)
Biblioteca em Python que coleta informações cadastrais de empresas do Brasil (CNPJ) obtidas de fontes oficiais (Receita Federal) e exporta para um formato legível por humanos (CSV ou JSON).
Open source platform for Data Science Management automation
Hydrosphere examples This repo contains demo scenarios and pre-trained models to show Hydrosphere capabilities. Data and artifacts management Some mod
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs •
Simple and Distributed Machine Learning
Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy
A collection of online resources to help you on your Tech journey.
Everything Tech Resources & Projects About The Project Coming from an engineering background and looking to up skill yourself on a new field can be di
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cookiecutter Data Science A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Project homepage
Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).
PandasVault — Advanced Pandas Functions and Code Snippets The only Pandas utility package you would ever need. It has no exotic external dependencies
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to
Automatically visualize your pandas dataframe via a single print! 📊 💡
A Python API for Intelligent Visual Discovery Lux is a Python library that facilitate fast and easy data exploration by automating the visualization a
Finding project directories in Python (data science) projects, just like there R rprojroot and here packages
Find relative paths from a project root directory Finding project directories in Python (data science) projects, just like there R here and rprojroot
A DSL for data-driven computational pipelines
"Dataflow variables are spectacularly expressive in concurrent programming" Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum Quick overview Ne
Maze generator and solver with python
Procedural-Maze-Generator-Algorithms Check out my youtube channel : Auctux Ressources Thanks to Jamis Buck Book : Mazes for programmers Requirements P
Helping you manage your data science projects sanely.
PyDS CLI Helping you manage your data science projects sanely. Requirements Anaconda/Miniconda/Miniforge/Mambaforge (Mambaforge recommended!) git on y
This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.
Generative Adversarial Network - Generating Universe This repository contains part of the code used to make the images visible in the article "How doe
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
Command line utilities for tabular data files This is a set of command line utilities for manipulating large tabular data files. Files of numeric and
The fastai book, published as Jupyter Notebooks
English / Spanish / Korean / Chinese / Bengali / Indonesian The fastai book These notebooks cover an introduction to deep learning, fastai, and PyTorc
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...