6767 Open source projects that are alternatives of or similar to Fastai2

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

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🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

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Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

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IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

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Association Rule Mining from Spatial Data for Crime Analysis

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

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This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Collection of useful data science topics along with code and articles

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

DeltaPy - Tabular Data Augmentation (by @firmai)

Production Data Science: a workflow for collaborative data science aimed at production

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

experiments with python

Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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A simple probabilistic programming language.

F# for Jupyter Notebooks

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Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

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A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain