yashsmehta/MetaLearnPlasticity

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Python
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Created over 2 years ago
Updated 6 months ago

yashsmehta/MetaLearnPlasticity

yashsmehta

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Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models

personality-prediction

Experiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including the Essays dataset (Big-Five)

mysqldump-to-csv

Python script to convert .sql dump to CSV format

named-entity-normalization

Using a combination of language models and web scraping for a robust named entity normalization engine to create a hierarchical graph data-structure.

helmholtz-machine

tensorflow implementation of the helmholtz machine, trained with the wake-sleep algorithm on MNIST with discrete stochastic network with Bernoulli variables.

yashsmehta

nas

multiagent neural architecture search evaluated on the Google nasbench-101

Jupyter Notebook

perturbations

This repo is the implementation of perturbation based algorithms for training neural networks - we evaluate the scalability of node perturbation with network width and depth on modern datasets such as MNIST, CIFAR, etc.

Jupyter Notebook

yashsmehta.github.io

Personal webpage of the one and only, legendary procrastinator, Herr. Yash Mehta.

XOR-jax

Simple toy neural networks in JAX solving XOR

transformers-playground

Repo for playing around with transformer architectures and trying out simple experiments

svhn

This repository contains the code (written in tf) which trains a basic 2 hidden layer MLP on the svhn dataset.

Jupyter Notebook