6041 Open source projects that are alternatives of or similar to Octopod

Learning numerical computing with notebooks for all ages.

A New, Interactive Approach to Learning Data Science

A repository to keep track of all the code that I end up writing for my blog posts.

A day to day plan for this challenge. Covers both theoritical and practical aspects

An OCaml kernel for Jupyter (IPython) notebook

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

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

A central repository for all my projects

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

GitHub Action for repo2docker

【运筹OR帷幄|数据科学】pandas教程系列电子书

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Code, Notebooks and Examples from Practical Business Python

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

The blog post about Kubeflow, including all materials

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Source code for 'Learn Data Analysis with Python; by A.J. Henley and Dave Wolf

All about Neural Networks!

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables

DS502-AI工程师直通车课程项目，包含每一期课程学习和实践资料，同学们可以在issue中发布自己的疑问，互相交流。

📈 A neural network regression model trained to predict the mean stock price percentage change everyday using financial factors like previous close price, actual previous close price, open price, market capitalization, total market value, price-to-earning ratio and price-to-book ratio, along with corresponding Sina Weibo and Baidu News sentiment scores.

A model that predicts if a restaurant is going to fail within the next 4 years.

DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft

一份不断完善的NLP学习笔记

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Convert text file to handwritten pdf file

Arquivos das aulas de Machine Leaning em Português (python + scikit-learn - https://www.youtube.com/playlist?list=PL4OAe-tL47sb3xdFBVXs2w1BA2LRN5JU2_)

A Tensorflow 2.0 implementation of Graph Isomorphism Networks.

Corrosion Detection from Images

⛲️ Commons Marketplace client & server to explore, download, and publish open data sets in the Ocean Protocol Network.

Boilerplate for Deep Learning Projects

Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone

A Machine Learning and Real-Time Data Analytics Workshop

Make a pull request. Let's hack the ocktober in an innovative way.

An Interactive Approach to Understanding Deep Learning with Keras

TinyML example showing how to do anomaly detection with Python and Arduino

This repo has moved 🏠 Visit our website for the latest SDKs & Samples

Automated dynamical systems inference

Heterogeneous Multi-output Gaussian Processes

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Try out deep learning models online on Google Colab

Python training for business analysts and traders

Implementation of different techniques to find insights from the satellite data using Python.

Presentations for the DesertPy Group

DEPRECATED Mermaid diagrams in the Jupyter Notebook

A collection of notebooks of my Machine Learning class written in python 3

Machine Learning / Randomized Algorithm and more

Public course material

Materials for talk at PyData London 2016