abhimasand Goto Github PK
Name: Abhishek Masand
Type: User
Company: Cornell University
Bio: Training AI to do superhuman tasks, CS Masters @ Cornell University
Location: India
Name: Abhishek Masand
Type: User
Company: Cornell University
Bio: Training AI to do superhuman tasks, CS Masters @ Cornell University
Location: India
Utility to output synchronized telemetry and video frames from Assetto Corsa (useful for AI/ML training)
This project aims to use a combination of imitation learning and reinforcement learning in order to play Asseto Corsa by learning new policies from expert samples and reward function. These policies are a combination of a function of minimizing the difference between expert moves and the maximizing the reward.
This project aims to propose a method to use AI as a means to dynamically process cheques, irrespective of what format they are in, and hence improve the efficiency as well as the accuracy of the system. This also enables small corporations to directly use their scanners to process cheques, and not buy expensive cheque reading machines that maybe limited to a particular format.
This repository helps to simultaneously collect game and controller data for AI research.
This project aims to bring AI to the Traffic controlling network, and subsequently reduce the need for human intervention by optimizing red light timing. This project calculates the amount of traffic at intersections and changes the timing of each red light to ensure a smooth flow of traffic.
An awesome README template to jumpstart your projects!
This project implements AI on top of a classical book management system, and aims to easy the process of picking out books from a wide collection. Picking out book is very difficult, and often takes a lot of time, that time can be better spent in reading the book. BookFlix takes the user's favourite books, and them uses collaborative filtering using Tensorflow, to predict what kind of books from the library are according to the user's preferences. This project thus helps the user maintain the library of books he wants toread, is reading, and also helps him in 'nding the books he could be interested in reading in the future.
An IOS App using CoreML to successfully detect numbers from a handwritten number
An algorithm to capture, align images, and convert them using Local Binary Patterns to recognizing people.
An algorithm to capture, process, and train a CNN to recognize people.
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
An algorithm to predict stock price. It has been trained on Google’s stock price data from last 5 years to predict Google’s future stock price. It has been prepared using Time-Series-Analysis using Recurrent Neural Network (RNN)
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
A Movie Recommender system trained on the Movie Lens 1 Million Dataset Using a Restricted Boltzmann Machine in PyTorch
A directory supporting the code for the paper 'ScrapNet'
Using a raspberry pi with a camera to detect the number of vehicles passing through a particular section of the road in a period of time
Designed a powerful algorithm, which pulls tweets by topics and has a custom NLPA trained model for sentence modeling using many methods such as “Bag of Words” method, to accurately predict the sentiment of a tweet and confirm the entity’s in the sentence.
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.