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Name: Akshay Sharma
Type: User
Name: Akshay Sharma
Type: User
cs 2015 project
Simulation of Predator Prey Dynamics using Deep Reinforcement Learning (CS 275: Artificial Life for Computer Graphics and Vision - Course Project)
Face detection using Boosting
Chrome extension which suggests more relevant results on the Google search page by using features from similar searches from users (including your social media connections) and other attributes like page type, time spent and type of query
We explore various properties of the IMDb dataset by systematically analyzing actor/actress, movie data by constructing networks helping uncover trends and other interesting information
In this project, we study various random graph networks and their properties. Along with this, we implement random walks and PageRank on these networks.
Comparision of 2 Language detection approaches
Analysis of product titles and predict two parameters – Clarity and Conciseness, by using techniques like Logistic Regression, XGBoost, and Neural Networks (Deep and Convolutional) and compared the results of all techniques and combinations
Object detection using Fast R-CNN
Product recommendation system on Amazon product dataset using Apache Spark framework
Determining whether two questions are asking the same thing can be challenging, as word choice and sentence structure can vary significantly. Traditional natural language processing techniques been found to have limited success in separating related question from duplicate questions. In this paper, we explore methods of determining semantic equivalence between pairs of questions using a dataset released by Quora. We explore different approaches involving using different classifiers with a rich feature set, a Siamese Neural Network which uses an LSTM, and an ensemble of the multiple approaches. Our ensemble model outperforms the classifier and Siamese models.
In this project, we implement reinforcement learning concepts using the Value Iteration Algorithm to learn optimal policy. In the second part, we apply inverse reinforcement learning for apprenticeship learning.
In this project, we study various properties of social networks. In the first part of the project, we study an undirected social network (Facebook). In the second part of the project, we study a directed social network (Google +).
In this project, we apply graph theory theorems and algorithms on real world financial and uber network datasets.
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.