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algorithms_and_data_structures_cplusplus

Standard algorithm and data-structure problems in C++

algorithms_and_data_structures_python

Standard algorithm and data-structure problems in Python

constraint-tools-data

dairy-spread

Create a nice creamy spread(-sheet). Makes me want soda bread, so it does.

denoising_coverage_profiles

Using Convolutional Neural Networks to model an association between a genomic sequence and the number of sequenced reads that align to it

diffusion

Implementation of a Denoising Diffusion Probabilistic Model with some mathematical background.

docker-ci

GitHub Action CI pipeline with Docker containers

find_phone

Object detection algorithm

fine-tune-llm

Fine-tune open-source LLM on an instruction dataset

genomics-web-app

vue app with flask REST api to process genomic data

gnn

A collection of projects using graph neural networks implemented from first principles, and using the PyTorch Geometric library

igv-grid

Create thumbnails of igv.js visualizations and view them all simultaneously in an interactive, responsive web app.

jupyter_notebook_intro

All you need to get started with Jupyter Notebooks

linkedin-learning-open-source-project-python-py3.11

llm-powered-applications

Orchestrating the interaction between users and Large Language Models

loftolenhancers

Code for Xu et al. Loss-of-function tolerance of enhancers in the human genome

logo

math105a

Numerical analysis course in Python

math175

Upper-division Combinatorics Class

math2b

Lower-division calculus class

math9

Introductory Python course for math students

mindiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

modeling_mutation_counts_using_neural_networks

Modeling mutation count data using deep learning

mutation_accumulation

C++ template library for Monte Carlo simulations of mutation accumulation in stem cells

nahrly

Genomic copy-number variant calling on NAHR-based events

nextflow

Basic examples of nextflow syntax/usage

nucleotide-transformer

Using an LLM to discover the genetic causes of rare disease

petermchale.github.io

pong_rl

Training a simple AI using the policy-gradient approach to Reinforcement Learning.

predict_customer_response

Machine-learning models to predict whether customers respond to a marketing campaign