Pinned Repositories
Citadel-Datathon-2022
CS754-Advanced-Image-Processing
Image Processing Assignments for course CS754
Medical-Image-Computing
Image Processing Assignments for course CS736
Medical-Image-Segmentation
[Pytorch] U-Net and R2U-Net models for Image Segmentation. Results are shown for STARE/DRIVE datasets.
Probabilistic-U-Net
Pytorch implementaion of Probabilistic U-Net.
rai-games
RAI Games
real-trader-soc
rec_sys
Movie-Book Cross-Domain Recommender System: Database based application that provides the user with recommendations of movies on the basis of the movies, books and genres explored and rated by him/her
RedPencil
Proof Reading Rewriter
tapestry
Compressed Sensing Algorithms for Sample Pooling and Testing using qPCR
yashgupta-7's Repositories
yashgupta-7/Medical-Image-Segmentation
[Pytorch] U-Net and R2U-Net models for Image Segmentation. Results are shown for STARE/DRIVE datasets.
yashgupta-7/rai-games
RAI Games
yashgupta-7/Citadel-Datathon-2022
yashgupta-7/Probabilistic-U-Net
Pytorch implementaion of Probabilistic U-Net.
yashgupta-7/real-trader-soc
yashgupta-7/tapestry
Compressed Sensing Algorithms for Sample Pooling and Testing using qPCR
yashgupta-7/variational-autoencoder
Variational Autoencoders
yashgupta-7/rec_sys
Movie-Book Cross-Domain Recommender System: Database based application that provides the user with recommendations of movies on the basis of the movies, books and genres explored and rated by him/her
yashgupta-7/10708-project
Project Repository for 10-708 @CMU
yashgupta-7/689_project
yashgupta-7/765_a3
yashgupta-7/avgupta456
yashgupta-7/bert_score_all
yashgupta-7/Compressed-Learning
Linear kernel SVM in the measurement domain has true accuracy close to the accuracy of the best linear threshold classifier in the data domain. This is beneficial both from the compressed sensing and the machine learning points of view. Course Project for CS754: Advanced Image Processing
yashgupta-7/fast_abs_rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
yashgupta-7/first-contributions
🚀✨ Help beginners to contribute to open source projects
yashgupta-7/GTR
[SIGIR 2021] Retrieving Complex Tables with Multi-Granular Graph Representation Learning
yashgupta-7/HybridQA
Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"
yashgupta-7/legendre-forecasters
yashgupta-7/multihop_dense_retrieval
Multi-hop dense retrieval for question answering
yashgupta-7/my-ot2
my ot2 codes
yashgupta-7/Paraphrastic-Summarization
yashgupta-7/pptree
Python tree pretty-print
yashgupta-7/PreSumm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
yashgupta-7/skorch
A scikit-learn compatible neural network library that wraps PyTorch
yashgupta-7/sow-reap-paraphrasing
Contains data/code for the paper "Neural Syntactic Preordering for Controlled Paraphrase Generation" (ACL 2020).
yashgupta-7/svmiller.github.io
My website on github at http://svmiller.com
yashgupta-7/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
yashgupta-7/visual-question-answering
Visual Question Answering using CNN-LSTM based networks
yashgupta-7/yashgupta-7