90 Open Source Ipython Notebook Software Projects
Free and open source ipython notebook code projects including engines, APIs, generators, and tools.
Dive Into Machine Learning 10877 ⭐
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. First posted in 2016, maintained as of 2022. Pull requests welcome!
Data Analysis And Machine Learning Projects 5208 ⭐
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Artificial Intelligence Deep Learning Machine Learning Tutorials 2992 ⭐
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Spark Py Notebooks 1424 ⭐
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Agconti Kaggle Titanic 755 ⭐
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Notebooks Statistics And Machinelearning 279 ⭐
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Rfm Analysis 198 ⭐
Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
Sqlcell 144 ⭐
SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.
Prototypical Networks Tensorflow 127 ⭐
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Sci Pype 99 ⭐
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Deep Residual Networks Pyfunt 49 ⭐
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
Molpx 35 ⭐
IPython API to visualize MD-trajectories along projected trajectories inside a Jupyter notebook
Sampling Methods Numpy 40 ⭐
This repository contains implementations of some basic sampling methods in numpy.
Hdr Imaging 49 ⭐
An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
Ipynotebook_machinelearning 28 ⭐
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Machine Learning Algorithms From Scratch 37 ⭐
A collection of commonly used machine learning algorithms implemented in Python/Numpy
Socialpowernba 26 ⭐
Social Power in the NBA (Comparing on the court performance with Social Influence in R and Python)
Jekyll Ipython Markdown 18 ⭐
build process for turning ipython notebooks into markdown files for your jekyll blog
Titanic_survival_exploration 16 ⭐
Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival
Text Classify With Cnn 13 ⭐
:school: Easy to follow text classifying implementation using a Conv. Neural Network (Tensorflow)
Anaconda Virtualbox 16 ⭐
Anaconda Python 3 and R Distribution inside a virtual machine. Has an Auto-Keras special edition. VirtualBox OVA files less than 1800 MB
Nonlinearquad 18 ⭐
A collection of Jupyter/IPython notebooks that implement quadrotor control schemes in an expository manner
Bicimad Data Analysis 12 ⭐
🚲 BiciMAD - Data analysis + ML usage predictions of Madrid's public bike system data
Ipynb2pelican 11 ⭐
Integrate ipynb with pelican utilizing cell features to represent metadata and do other things in a pythonic way
All Conv Pytorch 10 ⭐
Pytorch implementation of "Striving for Simplicity: The All Convolutional Net" (https://arxiv.org/abs/1412.6806)
06_python_object_class 169 ⭐
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
03_python_flow_control 164 ⭐
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
05_python_files 163 ⭐
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is also easy and short. Python treats files differently as text or binary and this is important.
07_python_advanced_topics 168 ⭐
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
08_python_date_time_module 163 ⭐
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime modules.
09_python_numpy_module 161 ⭐
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
11_python_matplotlib_module 153 ⭐
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc
Clean_ipynb 70 ⭐
Command-line program for cleaning Julia files (.jl) and Jupyter notebooks (.ipynb) 🧹 Official janitor of Google Colab 👷
Predict_bitcoin_using_reddit_sentiment 10 ⭐
Sentiment analysis of Reddit comments to predict bitcoin price movement
92_python_games 122 ⭐
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
Python_natural_language_processing 122 ⭐
This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.
93_python_data_analytics_projects 131 ⭐
This repository contains all the data analytics projects that I've worked on in python.
Python_computer_vision_from_scratch 111 ⭐
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.