🎨 My personal website

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

🐢 The testing framework for ML models, from tabular to LLMs

Model interpretability and understanding for PyTorch

A Collection of application ideas which can be used to improve your coding skills.

Time Series Analysis with Python Cookbook, published by Packt

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Code and documentation to train Stanford's Alpaca models, and generate the data.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

A curated list of awesome machine learning interpretability resources.

A barebones WebSocket client and server implementation written in 100% Java.

Attributing predictions made by the Inception network using the Integrated Gradients method

Programming project and Research project for CS583 - Prof. Bing Liu

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

Implementation of the paper "Keyword Transformer: A Self-Attention Model for Keyword Spotting"