Pinned Repositories
adversarial-code-generation
[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly
code-representations-ml-brain
[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.
neural-program-comprehension
[eLife 2020] "Comprehension of computer code relies primarily on domain-general executive brain regions" by Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Una-May O'Reilly, Marina U. Bers, Evelina Fedorenko
ds-for-kids
Material pertaining to the Data Science for Kids workshop. Details on http://www.datasciencekids.org/search/label/diy
sevasetu
The code behind the website which runs sevasetu.org
6.864_term_project
Topic modeling on unseen domains using a GAN-like architecture.
ai4code-tutorial
CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
data-nlp-vision-exercise
A short exercise in data, NLP, and vision tasks
reckless-minimax
code for "On the Application of Danskin’s Theorem to Derivative-Free Minimax Optimization"
shashank-srikant's Repositories
shashank-srikant/6.864_term_project
Topic modeling on unseen domains using a GAN-like architecture.
shashank-srikant/ai4code-tutorial
shashank-srikant/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
shashank-srikant/data-nlp-vision-exercise
A short exercise in data, NLP, and vision tasks
shashank-srikant/data-vision-exercise
A short exercise in data, vision tasks
shashank-srikant/reckless-minimax
code for "On the Application of Danskin’s Theorem to Derivative-Free Minimax Optimization"
shashank-srikant/500lines
500 Lines or Less
shashank-srikant/6.867_term_project
Graph-based neural nets to predict type information in programs
shashank-srikant/advice
A repository of links with advice related to grad school applications, research, phd etc
shashank-srikant/ai4code_repair
AI4Code syntax repair tutorial for IAP 2023
shashank-srikant/averloc
Repository for the Adversarial ML on Code things
shashank-srikant/braincode
An analysis of representations of computer programs learned by ML models and those seen in our brains
shashank-srikant/data-nlp-exercise
shashank-srikant/data-nlp-exercise-intern
shashank-srikant/data4governance
shashank-srikant/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
shashank-srikant/DeepTyper
shashank-srikant/dotfiles
shashank-srikant/Genetic-Improvement
This is based on work done at UCL's GISMO (Genetic Improvement of Software for Multiple Objectives)
shashank-srikant/ml4code.github.io
Website for "A Survey of Machine Learning for Big Code and Naturalness"
shashank-srikant/mythril-classic
Mythril Classic: Security analysis tool for Ethereum smart contracts
shashank-srikant/mythril-line-numbers
shashank-srikant/neural-program-comprehension
Resources for our work "Comprehension of computer code relies primarily on domain-general executive resources"
shashank-srikant/python-analyze
shashank-srikant/rb-covid-scripts
http://nd.solveninja.org/
shashank-srikant/Research-Internships-for-Undergraduates
List of Research Internships for Undergraduate Students
shashank-srikant/scrape-web
shashank-srikant/shashank-srikant.github.io
Home | Shashank Srikant
shashank-srikant/SIGEVO-summer-school
Material and my submissions made to the SIGEVO summer school
shashank-srikant/sigtbd-2019
[SIGTBD 2019] "Human Baseline for Zero-Shot Transfer Learning of Good Dogs" by Willie Boag, Shashank Srikant