Matthew Kehoe's Projects
Work on ML for 100+ Days Straight
An annotated implementation of the Transformer paper.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Awesome-LLM: a curated list of Large Language Model
A topic-centric list of HQ open datasets.
Notes and links from the book club meetings
Chebfun: numerical computing with functions.
A collection of Jupyter Notebooks highlighting data science and machine learning projects.
Cheat Sheets
Curated list of data science interview questions and answers
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A MNIST-like fashion product database. Benchmark :point_down:
The open-source tool for building high-quality datasets and computer vision models
The textbook Computational and Inferential Thinking: The Foundations of Data Science
Fundamentals of Numerical Computing in Julia
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
A HighβOrder Perturbation of Surfaces/Asymptotic Waveform Evaluation (HOPS/AWE) algorithm for Grating Scattering Problems.
HydraViT is a PyTorch implementation of the HydraViT model, an adaptive multi-branch transformer for multi-label disease classification from chest X-ray images. The repository provides the necessary code to train and evaluate the HydraViT model on the NIH Chest X-ray dataset.
Google Colab notebooks for the Intro to Python class
The Iris Dataset contains four features (length and width of sepals and petals) of 50 samples of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). These measures were used to create a linear discriminant model to classify the species.
This repo contains the code to forecast EUV irradiance 'Stan' bands from solar images up to six days in advance.
Various Java programs for data and numerical analysis including an arbitrary precision complex number library.
juliaforge
Unify Efficient Fine-Tuning of 100+ LLMs
A comprehensive guide to building RAG-based LLM applications for production.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM training in simple, raw C/CUDA
Implementing a ChatGPT-like LLM from scratch, step by step
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
The official GitHub page for the survey paper "A Survey of Large Language Models".