raghuveernamala Goto Github PK
Name: Teleporter
Type: User
Name: Teleporter
Type: User
Algorithms, 4th edition textbook code and libraries
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! 😀)
A curated list of awesome computer vision resources
A curated list of deep learning resources for computer vision
A curated list of awesome frameworks, libraries and software for the Java programming language.
A curated list of awesome Machine Learning frameworks, libraries and software.
Random Forest - a curated list of resources regarding random forest
Reinforcement learning resources curated
Recurrent Neural Network - A curated list of resources dedicated to RNN
A collection of Bayesian data analysis recipes using PyMC3
Caffe: a fast open framework for deep learning.
fast.ai Courses
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deliberate Practice for Learning Deep Learning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition
Starter code for Evolution Strategies
The fast.ai deep learning library, lessons, and tutorials
:books: Freely available programming books
Curated list of awesome GAN applications and demo
Code examples from later chapters of Growing Object-Oriented Software, Guided by Tests
Design patterns implemented in Java
Codes for Kaggle Competitions
Code for a 1st place model in Carvana Image Masking Challenge
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
A complete daily plan for studying to become a machine learning engineer.
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.