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Name: Satya Vasanth Reddy
Type: User
Name: Satya Vasanth Reddy
Type: User
cs 2015 project
AIStore: scalable storage for AI applications
This pdf is an overview of LLVM compiler infrastructure.
Tensorflow implementation of contextualized word representations from bi-directional language models
The increasing importance of the web as a medium for electronic and business transactions has served as a driving force for the development of recommender systems technology. An important catalyst in this regard is the ease with which the web enables users to provide feedback about their likes or dislikes. The basic idea of recommender systems is to utilize these user data to infer customer interests. The entity to which the recommendation is provided is referred to as the user, and the product being recommended is referred to as an item. The basic models for recommender systems works with two kinds of data: 1. User-Item interactions such as ratings 2. Attribute information about the users and items such as textual profiles or relevant keywords Models that use type 1 data are referred to as collaborative filtering methods, whereas models that use type 2 data are referred to as content based methods. In this project, we will build recommendation system using collaborative filtering methods.
System Calls to manipulate file system in Linux
Material Design Lite Components in HTML/CSS/JS
The report contains the analysis of htmlparser of python and that of LISP
Regression analysis is a statistical procedure for estimating the relationship between a target variable and a set of potentially relevant variables. In this project, we explore basic regression models on a given dataset, along with basic techniques to handle over- fitting; namely cross-validation, and regularization. With cross-validation, we test for over-fitting, while with regularization we penalize overly complex models.
This code uses antlr to build the semantic analyser for cool without NOTYPES
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.