7878 Open source projects that are alternatives of or similar to Nteract

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notebook files as source

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Telegram notification with IPython magics.

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Human-explainable AI.

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

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Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Cryptocurrency Price Prediction Using LSTM neural network

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Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Interactive and Reactive Data Science using Scala and Spark.

Curso de Data Science em Português

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/

Data exploration glue

Plotting library for IPython/Jupyter notebooks

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Save Jupyter Notebooks as PDF

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Jupyter notebook integration with Spyder

open source for wechat-official-account (ID: PyDataLab)

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Compilation of R and Python programming codes on the Data Professor YouTube channel.

An open-source, low-code machine learning library in Python

Jupyter notebooks from the scikit-learn video series

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Data science portfolio

Probabilistic reasoning and statistical analysis in TensorFlow

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阿水的数据竞赛开源分支

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