Shreyansh Singh's repositories
ML-Optimizers-JAX
Toy implementations of some popular ML optimizers using Python/JAX
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
DeepLearning-in-the-Browser
Deploy Deep Learning models directly in the browser. Includes code for deploying using Tensorflow.js, WebDNN, and ONNX.js.
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.
Hindi-Medium
Generate subtitle files for a video in English and Hindi
An-Empirical-Model-of-Large-Batch-Training
An approximate implementation of the OpenAI paper - An Empirical Model of Large-Batch Training for MNIST
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
Papermill-MLflow-PoC
A simple tutorial on using Papermill for executing multiple experiments and MLflow for logging artifacts and metrics.
Sentence-VAE
A re-implementation of the Sentence VAE paper, Generating Sentences from a Continuous Space
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
ML_Contest_Problems
My analysis of Kaggle Contest problems
Privacy-Preserving-Deep-Learning-for-Medical-Image-Classification
Privacy-preserving Deep Learning for Medical Image Classification for classifying chest X-ray images
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)
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
contextualSpellCheck
✔️Contextual word checker for better suggestions
DL-Code-Repository
DL model codes