pramodatre Goto Github PK

algorithmvisualizer

Algorithm Visualizer

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bda_py_demos

Bayesian Data Analysis demos for Python

crazyflie-multi-ranger-deck-slam

SLAM implementation for Crazyflie2.1 using the multi-ranger deck

cv-algorithms

Implementations of Computer Vision algorithms described in my blog posts on http://pramodatre.github.io/

data-science-from-scratch

code for Data Science From Scratch book

detectofftopictweets

Accompanying code for detecting off-topic tweets using content analysis for the publication Topical anomaly detection from Twitter stream. In Proceedings of the 4th Annual ACM Web Science Conference (WebSci '12). ACM, New York, NY, USA, 11-14.

dimple

Dimple: Java and Matlab libraries for probabilistic inference

fcnd-backyard-flyer

Learn autonomous flight basics using a simulator for development and testing of flight commands. Make a simulated drone fly in a pattern, e.g., a square.

fcnd-controls-cpp

Design, implement, and tune PID controllers that work at expected quality to control the drone's altitude and attitude. Test controllers using a realistic simulator to fly complex trajectories.

fcnd-esimation-cpp

Design and implement Extended Kalman Filter (EKF) for state estimation of the drone by fusing IMU, magnetometer, and GPS observations. Use a realistic simulator for validating the implementation.

fcnd-motion-planning

Plan and execute routes in an urban environment given a destination location avoiding obstacles using Voronoi graphs and Probabilistic Road Maps (PRM). Build realistic paths by minimizing waypoints using ray tracing.

fcnd-projects-crazyflie-port

Porting some FCND projects working with a simulator to a micro-UAV, Crazyflie2.1

gcc

github-pages-with-jekyll

incubator-quarks

Mirror of Apache Quarks (Incubating)

incubator-quarks-website

Mirror of Apache Quarks site (Incubating)

intro2stats

Introduction to Statistics using Python

ipython-notebooks

A collection of IPython notebooks covering various topics.

knowledgesharingplatform

K# - Knowledge Sharing Platform

mlrefined

Python and MATLAB code examples and demos from the textbook "Machine Learning Refined" (Cambridge University Press). See our blog https://jermwatt.github.io/mlrefined/index.html for interactive versions of many of the notebooks in this repo.

pixyll

A simple, beautiful Jekyll theme that's mobile first

pramodatre.github.io

My homepage

prettytensor

Pretty Tensor: Fluent Networks in TensorFlow

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

programming-collective-intelligence

IPython notebooks with recommendation algorithms

scikit-learn

scikit-learn: machine learning in Python

tensorflow

Open source software library for numerical computation using data flow graphs.

text-mining-python-course

Codebase containing all the implementations for the Udemy course on Build Text Mining Applications with Live-Coding in Python

text-mining-search-engine

Search engine application to index and retrieve documents