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python-for-signal-processing

Notebooks for "Python for Signal Processing" book

python-image-processing

python image processing program

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

quad-sim

A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design

r-gis-tutorial

Spatial data in R: using R as a GIS

r4ds

R for data science

ramp-workflow

Toolkit for building predictive workflows on the top of pandas and scikit-learn.

raven

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

rbc-dsai-iitm.github.io

Homepage for the Robert Bosch Centre for Data Sciences & Artificial Intelligence at IIT Madras

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

rethinking

Statistical Rethinking course and book package

rltutorialkeras

robot_control

Robot Control using PID Controller and Kalman Filter

scikit-learn

scikit-learn: machine learning in Python

scripts

Scripts for different meetups of ML-India (ml-india.org) | Gurgaon Chapter.

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

shoe

Shoe polishing project at Innopolis University, Double summer school on Robotics and SE 2018

sigviewer

SigViewer is a viewing application for biosignals.

skdata

Data sets for machine learning in Python

sklearn_pydata2015

Scikit-Learn Tutorial for PyData Seattle 2015

sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

spyder

Official repository for Spyder - The Scientific Python Development Environment

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-machine-learning-course

machine learning course programming exercise

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

stochastic-optimization

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

supporting-material

This repo has all the related materials to meetups