Harsh Agrawal's repositories
dexter1691.github.io
Harsh Agrawal - Personal Website
dotfiles
Creating a repo for dot files
interview
Take-home interview questions for Poly
habitat-api
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
arxiv-extension
Unpack arxiv URLs into Paper Title; Author; Venue - Year
allennlp
An open-source NLP research library, built on PyTorch.
NeuralBabyTalk
Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
ImageCaptioning.pytorch
(Only support pytorch 0.3 now) image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)
pycocoevalcap
Python 3 support for the MS COCO caption evaluation tools
cloud-formation-elasticache
AWS CloudFormation template that creates a Redis cluster
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
dl-setup
Instructions for setting up the software on your deep learning machine
samplecv
This is a sample app for CloudCVfy your code project. This project can convert rgb images to grayscale.
torch-autograd
Autograd automatically differentiates native Torch code
conda_recipes
Conda Recipes
order-embedding
Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"
DIGITS
Deep Learning GPU Training System
abstract_scenes_v002
The second version of the interface for Abstract Scenes research project.
simple-amt
A microframework for working with Amazon's Mechanical Turk
object-proposals
Repository containing wrapper to obtain various object proposals easily
GraphLabHackathon
Repository for the Graphlab Hackathon
Latex-Templates
A concise set of Latex templates that serves a small set of needs - CV, Essays, Articles and Problem Sets
p5.js
A JS client-side library for creating graphic and interactive experiences, based on the core principles of Processing.