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Name: Ishaan Sharma
Type: User
Bio: Machine Learning & Deep Learning enthusiast | Trying to learn how Machines learn
Location: India
Name: Ishaan Sharma
Type: User
Bio: Machine Learning & Deep Learning enthusiast | Trying to learn how Machines learn
Location: India
Artistic Style Transfer using VGG16 with help of Keras
A TimeTable Scheduler Project Designed For College
Basic Smart Contract's using solidity.
Welcome to the one point community-driven encyclopedia for anything in technology.
Quiz & Assignment of Coursera
Implementation of All ▲lgorithms in C++ Programming Language
Udacity C++ Nanodegree
An evolving guide to learning Deep Learning effectively.
Implementation Of Deep Learning models using Keras and Tensorflow
Connect metamask with ether.js
[Examples] Simple basic isolated apps, for budding flutter devs.
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
React app to search Github profiles
This repository is primarily maintained by Omar Santos and includes resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
Detecting Brightness of Image
The Julia Language: A fresh approach to technical computing.
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
It consists of 31 daily problems over the month of July. A problem is added here each day
It consists of 31 daily problems over the month of August. A problem is added here each day, and you have 24 hours to make a valid submission for it in order to be eligible for rewards.
Machine Learning Algorithms implementaing from scratch as well as using libraries
:computer: Make machines learn so that you don't have to struggle to program them; The ultimate list
Machine learning Foundation Nanodegree By Udacity
machine learning and deep learning tutorials, articles and other resources
Implementation of Machine Learning Algorithms
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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.