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Name: Vinayak raja
Type: User
Name: Vinayak raja
Type: User
Coding machine learning for at least an hour everyday for the next 100 days.
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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 Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
Source Code for the book Building Machine Learning Systems with Python
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Official content for Harvard CS109
Notes from OMSCS Lectures and Transcripts.
fast.ai Courses
ML assignments
:bar_chart: Path to a free self-taught education in Data Science!
Repo to learn Data Science and ML algorithm using Python
Repo to learn Data Science and ML algorithm using R
a curated list of R tutorials for Data Science, NLP and Machine Learning
Data sets for python and R data science ML Implementation
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
The fastai deep learning library, plus lessons and and tutorials
Grocery sales Analysis to identify new market segments R and Alteryx
Address imbalance classes in machine learning projects.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A high performance implementation of HDBSCAN clustering.
Introduction to Statistics using Python
A collection of IPython notebooks covering various topics.
Kaggle Wiki Competion google
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.