1180 Open source projects that are alternatives of or similar to Gun Violence Data

Accelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.

A stab at a very simple statistics class for Objective-C

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Open Machine Learning Course

Data analysis tool.

I was once asked about transitioning to a career in data science by three different UChicago grad students over a short period of time, so I decided to put together this outline in case anyone else was curious.

Datasets, tools, and benchmarks for representation learning of code.

Python training for business analysts and traders

Malware Data Science Reading Diary / Notes

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Experiment tracking for machine and deep learning projects

Artificial Learning, Intelligent Machines

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Apache Superset is a Data Visualization and Data Exploration Platform

🏖TagEditor - Annotation tool for spaCy

Practice your skills with these ideas.

📈 Regression and Classification with UC Davis student quiz data and exam data

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

A searchable compilation of Kaggle past solutions

A modern WPF based Network Profiler for Unreal Engine.

Road to Machine Learning

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Search for tweets and download the data labeled with its polarity in CSV format

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Wolfram Language code and notebooks related to the coronavirus outbreak

Explore high-dimensional datasets and how your algo handles specific regions.

Simple and fast viewer for asterisk CDRs / recordings

Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Combine U.S. census data responsibly

superseriousstats is a fast and efficient program to create statistics out of various types of chat logs

Monthly Series - Machine Learning Top 10 Open Source Projects

Best Practices on Recommendation Systems

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

A collection of Jupyter/IPython notebooks

Inference case studies in knitr

Association Rule Mining from Spatial Data for Crime Analysis

A site that displays up to date COVID-19 stats, powered by fastpages.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.

Android library to draw beautiful and rich line charts.

PyData Korea 공식 홈페이지입니다. (준비중)

Fit data to many distributions

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Single-Cell Analysis in Python. Scales to >1M cells.

Shanghai Disney Waiting Queue Statistics 上海迪士尼排队情况

An R package for analysis of dramatic texts

Main repository for R programming courses @ University of Cincinnati, courses and tutorials that focus on data wrangling, exploration, visualization, and analysis with R.

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Parser and database to index the terpene profile of different strains of Cannabis from online databases

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

An open-source NLP research library, built on PyTorch.

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.