11238 Open source projects that are alternatives of or similar to Jupyter

This contains the curriculum that I will follow to get better at Competitive Programming in 2 months.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

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Hello everyone, I have created this repository specifically for competitive questions and for placements preparation.

深度学习在推荐系统中的应用及论文小结。

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🍰 기술 냉장고입니다. 🛒 기술 면접 , 전공 시험 , 지식 함양 등 분명 도움될 거예요! 🤟

Grokking Deep Reinforcement Learning

DSA-Self Paced With Doubt Assistance Course Solutions in Python (Python 3)

A common, beautiful interface to tabular data, no matter the format

Chinese University MOOC - Chen Yue, He Qinming - data structure - 2017 spring. Mainly implement the course code on MOOC.

RoboJackets Software Training

pyclustring is a Python, C++ data mining library.

Algorithm is a library of tools that is used to create intelligent applications.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

The Hitchhiker's Guide to Data Science for Social Good

Modern Data Science

Algorithms and data structures exercises

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

Automating Your Data Pipeline with Apache Airflow

Implementation of All ▲lgorithms in Haskell Programming Language

The blog post about Kubeflow, including all materials

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

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

Association Rule Mining from Spatial Data for Crime Analysis

Create HTML profiling reports from pandas DataFrame objects

Notes for Deep Learning Specialization Courses led by Andrew Ng.

brief introduction to Python for machine learning

A Python library for easy data analysis, visualization, exploration and modeling

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Google Colaboratory Notebooks and Repositories (by @firmai)

Open Machine Learning Course

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

Python training for business analysts and traders

🚀 A Google Chrome / Firefox extension that blocks NSFW images from the web pages that you load using TensorFlow JS.

Learn advanced data science on real-life, curated problems

Python Helper library for Jupyter Notebooks

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Sources codes for: Mastering Python for Finance, Second Edition

Achieve your marketing goals with the data analytics power of Python

⚡️ codezilla ⚡️ One giant 🦖 collection of algorithms & design patterns.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Best Practices, code samples, and documentation for Computer Vision.

USC urban data science course series with Python and Jupyter

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

🔥🐻 The Speakeasy Scripting Engine Which Combines Speed, Safety, and Simplicity

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Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

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A collection of Jupyter notebooks for learning Python from the ground up.

😖 😕 😃LeetCode问题解题思路。

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A list of 99 machine learning projects for anyone interested to learn from coding and building projects

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