anaconda - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

•    Python

Anaconda turns your Sublime Text 3 into a full featured Python IDE. Read the plugin documentation on http://damnwidget.github.io/anaconda.Anaconda works out of the box but there are multitude of options and features that you can tune and adapt to your own style or needs.

spyder - Official repository for Spyder - The Scientific Python Development Environment

•    Python

Spyder development is made possible by contributions from our global user community, along with organizations like NumFOCUS and Quansight. There are numerous ways you can help, many of which don't require any programming. If you'd like to make a donation to help fund further improvements, we're on OpenCollective. Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.

notes-python - 中文 Python 笔记

•    Jupyter

中文 Python 笔记

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

•    Python

Visual analysis and diagnostic tools to facilitate machine learning model selection. Image by Quatro Cinco, used with permission, Flickr Creative Commons.

ml-workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

•    Jupyter

The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. The workspace requires Docker to be installed on your machine (📖 Installation Guide).

elyra - Elyra extends JupyterLab Notebooks with an AI centric approach.

•    Python

Elyra is a set of AI-centric extensions to JupyterLab Notebooks. The Elyra Getting Started Guide includes more details on these features.

cudf - cuDF - GPU DataFrame Library

•    C++

NOTE: For the latest stable README.md ensure you are on the main branch. Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data.

pygdf - GPU Data Frame

•    Jupyter

PyGDF implements the Python interface to access and manipulate the GPU Dataframe of GPU Open Analytics Initialive (GOAI). We aim to provide a simple interface that similar to the Pandas dataframe and hide the details of GPU programming.

anaconda_go - AnacondaGO adds autocompletion, linting and IDE features for Golang to your Sublime Text 3

•    Python

AnacondaGO adds autocompletion, linting and IDE features for Golang to your Sublime Text 3 using anaconda's asynchronous engine so it shouldn't freeze your Sublime Text ever.Note: AnacondaGO does not include any key binding by itself as we think that package key bindings are intrusive, anyway, we provide some key binding suggestions in this same README file.

deep_bait - Running the most popular deep learning frameworks on Azure Batch AI

•    Jupyter

This repo contains everything you need to run some of the most popular deep learning frameworks on Batch AI. Batch AI is a service that allows you to run various machine learning workloads on clusters of VMs. For more details on the service please look here.This project uses anaconda-project and makefiles to create the environment, download the data and prepare all necessary artifacts.

docker-alpine-miniconda3 - The smallest Docker image with Miniconda3 (Python 3.5) (~143MB)

This image is based on Alpine Linux image, which is only a 5MB image, and contains Python 3.5 packaged by Continuum with Conda package manager. NOTE: Conda repositories contain only Glibc linked packaged binaries for Linux, so we have to use glibc workaround on Alpine.

ansible-spark-cluster - Ansible roles to install an Spark Standalone cluster (HDFS/Spark/Jupyter Notebook) or Ambari based Spark cluster

•    Shell

Ansible uses 'host inventory' files to define the cluster configuration, nodes, and groups of nodes that serves a given purpose (e.g. master node). Note: ansible_host_id is only used when deploying a "Spark Standalone" cluster.

aws_jupyter_anaconda - A bunch of scripts to install Miniconda and Jupyter on your reserved AWS spot instances

•    Jupyter

A bunch of scripts to install Miniconda and Jupyter on your reserved AWS spot instances

FreeCAD_Conda - conda recipes for freecad and dependencies of freecad

•    Shell

Conda gives the oppurtunity to distribute FreeCAD in a consistent way for multiple plattforms. This is the biggest advantage of conda: A package-manager wich works in the same way for different platforms. minoconda is similar to anaconda, but only bundles a little subset of packages. Miniconda aims to be a minimalistic installation for the conda-package-manager. With the conda-package-manager you are able to install any package which is provided by Anaconda, and many more.

MagnetLoss-PyTorch - PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR)

•    Python

If you use MagnetLoss-PyTorch in a scientific publication, I would appreciate references to the source code.

Installations_Mac_Ubuntu_Windows - Installations for Data Science

•    Jupyter

Anyone may contribute to our project. Submit a pull request. So many installs to document and improve on. Configurations are also welcome.

wende - Wende Chinese QA system (experimental)

•    Python

Wende(问得) Chinese Question Answering, is a small and simple factoid chinese question answering system written in Python. You ask a chinese natural language question and Wende will try to give a certain answer of the question. This is still a work in progress, currently the system can only judge the type of the question that the user ask, which means, only the question classification module has been implemented. Download and install Docker, then startup Docker.

vscode-anaconda-extension-pack - Python extension pack for Anaconda

•    Javascript

The Anaconda Extension Pack is a set of extensions that enhance the experience of Anaconda customers using Visual Studio Code

Spine-Toolbox - An application to define, manage, and execute various energy system simulation models

•    Python

An application to define, manage, and execute various energy system simulation models. Please note that Python 3.9 is not supported yet.

qgs - A 2-layer quasi-geostrophic atmospheric model in Python

•    Python

qgs is a Python implementation of an atmospheric model for midlatitudes. It models the dynamics of a 2-layer quasi-geostrophic channel atmosphere on a beta-plane, coupled to a simple land or shallow-water ocean component. Part of the code originates from the Python MAOOAM implementation by Maxime Tondeur and Jonathan Demaeyer.