Name: Yash Mehta
Type: User
Company: Johns Hopkins University
Bio: Cognitive Science PhD student
Previously
@HHMIJanelia, @AutoML, @GatsbyUCL,
@NTUsingapore,
@AmazonSDE
Twitter: y_mehtu
Location: Baltimore, MD
Blog: https://yashsmehta.github.io/
Yash Mehta's Projects
I read and summarized an academic paper every day for a year.
This repository explores how far can you model biological vision solely with architecture and local learning?
Automated Machine Learning with scikit-learn
A curated list of awesome architecture search resources
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
A curated list of awesome computer vision resources
Awesome papers about unifying LLMs and KGs
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Website content for the bonner lab at JHU.
list of brain networks ready to be downloaded for your brainhacking pleasure
🧠🗼
This repository hosts sample pipelines
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
End-to-End Object Detection with Transformers
Deep learning based automated mood recognition from songs using bi-modal fusion of lyrics and audio. Work done as part of Amazon machine learning hackathon 2018.
Human Personality Traits Recognition from short introduction videos of users from Youtube
Code for the paper "Language Models are Unsupervised Multitask Learners"
A repository of links with advice related to grad school applications, research, phd etc
tensorflow implementation of the helmholtz machine, trained with the wake-sleep algorithm on MNIST with discrete stochastic network with Bernoulli variables.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
An IDE layer for Neovim with sane defaults. Completely free and community driven.
Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models
Python script to convert .sql dump to CSV format
Using a combination of language models and web scraping for a robust named entity normalization engine to create a hierarchical graph data-structure.
multiagent neural architecture search evaluated on the Google nasbench-101
NASBench: A Neural Architecture Search Dataset and Benchmark