Arka Sadhu

awesome-grounding. awesome grounding: A curated list of research papers in visual grounding

research-advice-list. A compilation of research advice.

zsgnet-pytorch. Official implementation of ICCV19 oral paper Zero-Shot grounding of Objects from Natural Language Queries (https://arxiv.org/abs/1908.07129)

vognet-pytorch. [CVPR20] Video Object Grounding using Semantic Roles in Language Description (https://arxiv.org/abs/2003.10606)

VidSitu. [CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

FAI-notes. Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)

visual-commonsense-pytorch. For visual commonsense model

infnet-spen. TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

Ifood-challenge-2018. Trying the Ifood Challenge 2018

VC-with-GAN. Voice Conversion with GANs

Learn-Graph-Laplacian. Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations

pyt-mobilenet. Pytorch Implementation of the MobileNet Architecture

btp-cv. Btech Project for computer vision

nips-challenge-learning-to-run. Python

Video-QAP. Repository for the paper Video Question Answering with Phrases via Semantic Roles

ALNLP-Notes. A few experiments with AllenNlp to understand it better

subreddit-classification-dataset. Create a subreddit classifier and have extensive study

pyt-mltest. Unit Testing for Pytorch: Heavily Inspired from the mltest https://github.com/Thenerdstation/mltest

EDL-project-VLC. Eagle

Viterbi-Internship. My work at USC Viterbi Summer 2017

awesome-public-datasets. A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesome-deep-vision. A curated list of deep learning resources for computer vision

state-of-the-art-result-for-machine-learning-problems. This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

EE739-Advanced-Processor-Design. TeX

Mastering-OpenCV. To do projects from the book Mastering OpenCV with Practical Computer Vision Projects

NN-with-Memory. Python

2017Spring. Deep Learning (for Computer Vision) Module - Spring 2017

arxiv-sanity-preserver. Web interface for browsing, search and filtering recent arxiv submissions

neural-networks-and-deep-learning. Code samples for my book "Neural Networks and Deep Learning"

vqa-project. Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering

bert_score. BERT score for text generation

ALBEF. Code for ALBEF: a new vision-language pre-training method

three-D-reconstruct-single-image. Paper Implementation of http://openaccess.thecvf.com/content_cvpr_2017/papers/Fan_A_Point_Set_CVPR_2017_paper.pdf

lab10-adc-dac-sram. VHDL

alfred. ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

awesome-action-recognition. A curated list of action recognition and related area resources