Pinned Repositories
Activity_Monitoring
cs 2015 project
aistore
AIStore: scalable storage for AI applications
Collaborative-Filtering
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.
Headline_Generation_NLP
Hierarchical-Deep-CNN
Reinforcement-Learning
SemanticAnalyser
This code uses antlr to build the semantic analyser for cool without NOTYPES
SimilarPapers
StackMachineInterpreter
A stack machine interpreter using COOL language
TwitterPopularityPrediction
Twitter, with its public discussion model, is a good platform to perform such analysis. With Twitter’s topic structure in mind, the problem can be stated as: knowing current (and previous) tweet activity for a hashtag, can we predict its tweet activity in the future? More specifically, can we predict if it will become more popular and if so by how much? In this project, we will try to formulate and solve an instance of such problems.
satyatumati's Repositories
satyatumati/StackMachineInterpreter
A stack machine interpreter using COOL language
satyatumati/SemanticAnalyser
This code uses antlr to build the semantic analyser for cool without NOTYPES
satyatumati/Basic_LLVM_Info
This pdf is an overview of LLVM compiler infrastructure.
satyatumati/LinuxSyscalls
System Calls to manipulate file system in Linux
satyatumati/MinixInstallation
satyatumati/ParserAnalysis
The report contains the analysis of htmlparser of python and that of LISP
satyatumati/Spoon-Knife
This repo is for demonstration purposes only.