sanjass
Senior Data Scientist @ Indeed, MIT Master's of Engineering - Class of 2021; MIT Bachelor's - Class of 2020 CompSci
Indeed
Pinned Repositories
HackMIT
posenet-art
alibi
Algorithms for explaining machine learning models
CommunityWatchApp
Community Watch is a web-app that allows the citizens of Cambridge to stay up to date on local crimes and engage in community discussion on crimes in neighborhoods as well.
Confessions
web app exercise
IntNetworks6885
Interaction Networks on Intphys
Malware-Classification-Seq2Seq
Final project for an MIT class in Advanced NLP.
MultiTaskLearning
final project for Meta Learning course 6.883 MIT Fall 2020
RobotLocationInference
VQA_LSTM_CNN
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
sanjass's Repositories
sanjass/MultiTaskLearning
final project for Meta Learning course 6.883 MIT Fall 2020
sanjass/Malware-Classification-Seq2Seq
Final project for an MIT class in Advanced NLP.
sanjass/RobotLocationInference
sanjass/alibi
Algorithms for explaining machine learning models
sanjass/CommunityWatchApp
Community Watch is a web-app that allows the citizens of Cambridge to stay up to date on local crimes and engage in community discussion on crimes in neighborhoods as well.
sanjass/Confessions
web app exercise
sanjass/IntNetworks6885
Interaction Networks on Intphys
sanjass/VQA_LSTM_CNN
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
sanjass/HackMIT-Minerva
Independent project
sanjass/How_to_make_a_text_summarizer
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
sanjass/JupyterNotebooksSummer2018
some notes from 2018 summer internship
sanjass/mathematics-of-deep-learning
The Mathematics of Deep Learning, SIPB IAP 2018
sanjass/old_personalweb
Data for jmcglone.com. Includes customization of Bootstrap 3.0. Blog and pages generated by Jekyll. Hosted on GitHub.
sanjass/pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)
sanjass/portfolio
sanjass/pytorch-cifar
95.16% on CIFAR10 with PyTorch
sanjass/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
sanjass/ResNetTrain
ResNet model achieving 26% test error
sanjass/robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
sanjass/sanjass.github.io
sanjass/SpamFiltering
Naive Bayes and Logistic Regression approach to spam email filtering
sanjass/spf
Cornell Semantic Parsing Framework
sanjass/textrank
TextRank implementation for Python 3.