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Name: Abhishek Narayan
Type: User
Twitter: techwithabi
Location: India
Name: Abhishek Narayan
Type: User
Twitter: techwithabi
Location: India
Collects product data from bigbasket.com
Free, responsive, multiple skin admin template
A collection of utilities which I've created over time, most of them are wrappers over standard libraries available customised for my convenience
The HW code
This repository pools my solutions regarding the Tensorflow for Deep Learning Research CS 20SI Stanford course.
Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications from the web (search, advertisements, and suggestions) to national security, from analyzing biochemical interactions to traffic and emissions to astrophysics. Perhaps most famously, the $1M Netflix prize stirred up interest in learning algorithms in professionals, students, and hobbyists alike. This class will familiarize you with a broad cross-section of models and algorithms for machine learning, and prepare you for research or industry application of machine learning techniques. Background We will assume basic familiarity with the concepts of probability and linear algebra. Some programming will be required; we will primarily use Matlab, but no prior experience with Matlab will be assumed. (Most or all code should be Octave compatible, so you may use Octave if you prefer.) Textbook and Reading There is no required textbook for the class. However, useful books on the subject for supplementary reading include Murphy's "Machine Learning: A Probabilistic Perspective", Duda, Hart & Stork, "Pattern Classification", and Hastie, Tibshirani, and Friedman, "The Elements of Statistical Learning".
Startup-ready web skeleton
Virtual whiteboard for sketching hand-drawn like diagrams
[UNMAINTAINED] FullTeaching: Teaching application with OpenVidu
A bitcoin trading bot written in node - https://gekko.wizb.it/
A production ready spring boot kotlin app with graphql support using mysql as the datasource. Supports integration testing with testcontainers, database migrations using flyway
High-level build project for all LAPDF-Text submodules
Mailtrap Client library to fetch html content of matching subject text
Papers from the computer science community to read and discuss.
A project to familiarize students with shell scripting
This is my current server setup where I deploy self-hosted applications.
SmartHotel360 Webiste
Spring Boot samples by Netgloo
Java library to process sql Query and provide result in different format
Automatically exported from code.google.com/p/sqlsheet
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
React QuickStart Boilerplate - SurveyJS: Survey Library and Survey Creator
๐งถ Extract data from any website without code, just clicks.
The best WordPress starter theme with a modern front-end development workflow. Based on HTML5 Boilerplate, gulp, Bower, and Bootstrap.
Automation of zerodha for HFT
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.