Opinionated typing package for precise type hints in Python

The Python programming language

This repository contains my Lecture Notes of the Course MIT-6.832 : Underactuated Robotics

Introduction to Gaussian Processes

Library to build command line interfaces based on Click. It extends click with: option groups, constraints (e.g. mutually exclusive params), command aliases, help themes, "did you mean ...?" sugges…

An idiomatic, lean, fast & safe pure Rust implementation of Git

Gaussian Mixture Regression

Berlin Robust Orientation Estimation Assessment Dataset (BROAD)

🏋️ Find out the cost of adding a new frontend dependency to your project

Python Implementation of Reinforcement Learning: An Introduction

A collection of ZSH frameworks, plugins, themes and tutorials.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Learn make by example

Reinforcement Learning for Source Seeking on a Drone

CP260: Robotic Perception, IISc

Fine-tuned LLM for electroencephalography(EEG) data classification

Course Repository

CP214-FoR Project presentations

🍀 Local git statistics including GitHub-like contributions calendars.

This repository contains a full wrapper class for running ORB-SLAM3 on a docker container with ROS2 Humble with Ubuntu 22.04.

The Book of Statistical Proofs

This Repository Contains all the Assignments submitted in E1 213 Course Pattern Recognition and Neural Networks (Indian Institute of Science)

This is Andrew NG Coursera Handwritten Notes.

Stanford CS229 (Autumn 2017)

All notes and materials for the CS229: Machine Learning course by Stanford University

Study guides for MIT's 15.003 Data Science Tools

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers