rakeshksaraf Goto Github PK
Name: Rakesh Saraf
Type: User
Bio: ML enthusiast.
Location: Vancouver Canada
Name: Rakesh Saraf
Type: User
Bio: ML enthusiast.
Location: Vancouver Canada
MITx: 6.00.2x Introduction to Computational Thinking and Data Science
This library is a wrapper for sklearn and works with data stored using Pandas module.
Share, discuss and learn about algorithm implementations!
This repo contains annotated research papers that I found really good and useful
Interesting Artificial Intelligence Projects
A curated list of awesome Python frameworks, libraries, software and resources
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Homepage for STAT 157 at UC Berkeley
Code worked on for Duke's Intro to Programming in C course
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
This is ROS package mentioned in the book "Learning Robotics using Python". This package contain drivers, Launch files for working with Chefbot, mentioned on this book|New version of code for ROS Kinetic: https://github.com/PacktPublishing/Learning-Robotics-using-Python-Second-Edition
Postman collections for Cisco IOS XE
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
CBT Nuggets course code samples
Course Files for Complete Python 3 Bootcamp Course on Udemy
Implementation of Machine Learning algorithms using numpy in Python. The exercise was done as part of homeworks given at Columbia's Machine Learning (COMS W4721) class conducted by Dr. John Paisley
Coursera Machine Learning - Python code
Machine learning-Stanford University
Course project for CSE 575 (Statistical Machine Learning)
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Solutions to the programming assignments of Stanford's deep learning class offered at Stanford. 224D (2016)
ASU Course Work CSE 575 Statistical Machine Learning
Productivity Tools for Plotly + Pandas
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.