This repository contains Python implementations of various machine learning algorithms from scratch using only native Python and NumPy.

This repository contains an educational implementation of Rotary Positional Encodings (RoPE) in PyTorch. RoPE is a method introduced in the paper RoFormer: Enhanced Transformer with Rotary Position…

Anthropic Claude2 Hackathon:Building MCTS with Claude for optimal action prediction during patient/doctor interactions.

DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interf…

Implementation of Deep Q-network to play game 2048 using Tensorflow2.0/Keras and PyGame

This is an easy to understand, simplified, broken-down implementation of Diffusion Models written in PyTorch. The architecture is borrowed from the paper "Denoising Diffusion Probabilistic Models"

This is a simplified implementation of VQ-GANs written in PyTorch. The architecture is borrowed from the paper "Taming Transformers for High-Resolution Image Synthesis".

A Research Toolkit that allows users to select a transformer model, specify a decoding strategy to generate text, which are then displayed in an interactive fashion to understand model probabilities.

Explorations into training LLMs to use clinical calculators from patient history, using open sourced models. Will start with Wells' Criteria