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.github

02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

adaptivegriddiscretizations

Adaptive schemes for anisotropic PDEs on cartesian grids

adase_toolkit

A library of utilities and tools for doing machine learning and TDA developed at ADASE

ai-lab

All-in-one AI development container for rapid prototyping

autoprofiler

Automatically profile dataframes in the Jupyter sidebar

awesome-mlss

List of summer schools in machine learning + related fields across the globe

awesome-notebooks

Ready to use data science templates, organized by tools to jumpstart your projects in minutes. 😎 published by the Naas community.

botkit

Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.

build

Scripts and Dockerfile templates for creating RAPIDS Docker Images

causal-inference-in-statistics-solutions

Solutions on "Causal Inference in Statistics: A Primer" using Jupyter Notebook, Python

causaloptimizationanon

cdtm_appliednlp

cdtm_leadingdata

My repository for the cdtm course

chart-gpt

AI tool to build charts based on text input

clr_prediction

config-generator

Repo for RudderStack's Config Generator, that generates configuration JSON files to be used with the RudderStack server.

cookiecutter-jekyll

A Jekyll (github pages) boilerplate for use with https://github.com/audreyr/cookiecutter

crowd.dev

The open source Community Operating System, built with developers in mind.

csvs

CSVs to play around

dask-tutorial-scipy-2018

Materials for "Parallelizing Scientific Python with Dask"

data-science-at-the-command-line

Data Science at the Command Line

dataanalyst

Repository for the udacity data analyst nanodegree

deepdow

Portfolio optimization with deep learning.

deepo

Set up your environment for deep learning in a single command line.

dl-cookiecutter

Dockerized ML Cookiecutter for DL

docker-cookiecutter-data-science

Adapted version of the cookiecutter-data-science leveraging Docker for local development with both GPU and CPU support.

docker-mlflow

Deploy mlflow with docker-compose

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

drivers

🏎 The python library enabling access to tools and data sources in minutes, with Naas low-code formulas.