vashisht-rahul Goto Github PK
Name: Rahul Vashisht
Type: User
Company: Indian Institute of Technology,Madras
Bio: PhD Scholar
Location: Chennai
Name: Rahul Vashisht
Type: User
Company: Indian Institute of Technology,Madras
Bio: PhD Scholar
Location: Chennai
Code for ACML paper On the Interpretability of Attention Networks
A curated list of awesome network analysis resources.
Random Forest - a curated list of resources regarding random forest
This project purpose is convert voc annotation xml file to yolo-darknet training file format
Computing various measures and generalization bounds on convolutional and fully connected networks
Google Research
Leaning hard attention model by policy gradient with rewards based on active inference.
MineRL gym environment with Google Colaboratory
Pytorch implementation of convolutional neural network visualization techniques
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
RefNet for Question Generation
This repository contains Pytorch implementation of the image captioning model published in the paper Show attend and tell (Xu et al, 2015)
Cleaned, Ready-to-use Sentence Level Labeled Stanford Sentiment Treebank Dataset
Tutorial
Based on Paper by Zhang on generalization in neural networks
Proceedings of ACML 2022
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.