Shreyansh Singh's repositories
Annotated-ML-Papers
Annotations of the interesting ML papers I read
Extracting-Training-Data-from-Large-Langauge-Models
A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020
DBMS-Project
DBMS Project (CS361) for Somnath Sevashram
Iris_classification-AWS-Lambda-PoC
A step-wise tutorial to demonstrate the steps required to deploy a ML model using AWS Lambda, Github Actions, API Gateway and use Streamlit to access the model API through a UI.
PyScript-Flask-Integration-PoC
A quick PoC demonstrating how PyScript can be used with Flask to handle variables and dataframes and display analytics over them through plots.
shreyansh26.github.io
My personal website
GPU-Puzzles-Solutions
Solutions to the GPU Puzzles by Sasha Rush - https://github.com/srush/GPU-Puzzles
ConvNeXt-Adversarial-Examples
Generating Adversarial examples for ConvNeXt
An-Empirical-Model-of-Large-Batch-Training
An approximate implementation of the OpenAI paper - An Empirical Model of Large-Batch Training for MNIST
ML-Paper-Implementations
Implementations of some interesting ML research papers and projects.
Sentence-VAE
A re-implementation of the Sentence VAE paper, Generating Sentences from a Continuous Space
VAE-Implementation
A simple implementation of Autoencoder and Variational Autoencoder
Weekend-Projects
Small and interesting projects done in my free time.
CTF-Writeups
CTF (Capture The Flag) writeups, code snippets, notes, scripts
Experiments-with-the-Neural-Tangent-Kernel
Learning more about the NTK through existing paper implementations
Gradient-Descent-on-Neural-Networks-Typically-Occurs-at-the-Edge-of-Stability
A re-implementation of the paper "Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability" by Cohen et al.
Iris_classification-GCP-AI-Platform-PoC
A step-wise tutorial to demonstrate the steps required to deploy a ML model using Google Cloud Platform's AI Platform and use Streamlit to access the model API through a UI.
Lottery-Ticket-Hypothesis
A re-implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin
MeTGAN-Paper
Source code and datasets for our ICONIP 2021 publication - "MeTGAN: Memory efficient Tabular GAN for high cardinality categorical datasets"
MinHash-Implemenation
A simple MinHash implementation based on the explanation in the Mining of Massive Datasets course by Stanford
Protohackers-Solutions
Solutions to the Protohacker challenges - https://protohackers.com/
Random_Quote
A random Quotes generator - This was a part of the webapp developed for the event "Dashboard" at InterIIT Tech Meet 2017.
Torchscript-Experiments
Documenting scripts while learning Torchscript (personal use only)
Transformer-Puzzles-Solutions
Solutions to the Transformer Puzzles by Sasha Rush - https://github.com/srush/Transformer-Puzzles