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Name: Ashish Nagar
Type: User
Location: New Haven, CT
Name: Ashish Nagar
Type: User
Location: New Haven, CT
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
The artificial intelligence code accompanying the book "Artificial Intelligence for Games"
Visualization Library for Algorithms
AlienFX lightchip control on AlienWare hardware using GNU C++
Manager to filter app notifications on Android
Python code for Deep Learning
Bayesian Inference
Exercise solutions for programming books.
Attempt to create a Firefox addon for extracting links from a webpage
Calibre kindle plugin for pocket
Open-source project behind Google Chrome
Clementine Music Player
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
Codes from (Codeforces, ICPC Live Archive, Project Euler, SPOJ, Timus, Topcoder, UVa ) problems.
The Python programming language
CS215 Intro to Algorithms
CSE 551 Foundations of Algorithms
CSE_576_NLP
Data Camp code
Udacity CS222 : Differential Equations in Action
Task and To Do List Manager in Flutter
Utilities for gdrive and local drive syncing
Hidden Markov Model Part of Speech tagger project
Image Classifer Tensorflow JS
ITMOx: I2CPx
Natural Language Inference is fundamental to many Natural Language Processing applications such as semantic search and question answering. The task of NLI has gained significant attention in the recent times due to the release of fairly large scale, challenging datasets. Present approaches that address NLI are largely focused on learning based on the given text in order to classify whether the given premise entails, contradicts, or is neutral to the given hypothesis. On the other hand, techniques for Inference, as a central topic in artificial intelligence, has had knowledge bases playing an important role, in particular for formal reasoning tasks. While, there are many open knowledge bases that comprise of various types of information, their use for natural language inference has not been well explored. In this work, we present a simple technique that can harnesses knowledge bases, provided in the form of a graph, for natural language inference.
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.