rdaggs

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

graphmuse

A Graph Deep Learning Library for Music.

AudioLCM

PyTorch Implementation of AudioLCM (ACM-MM'24): a efficient and high-quality text-to-audio generation with latent consistency model.

mergeallen

code snippet to merge allen institute brain atlas rois

PyNutil

Python library for brain-wide quantification and spatial analysis.

pytorch-NMF

A pytorch package for non-negative matrix factorization.

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

DeNeRD

High-throughput Detection of Neurons for Brain-wide analysis with Deep Learning

Summer2025-Internships

Collection of Summer 2025 tech internships!

D-LMBmap

ffn

Flood-Filling Networks for instance segmentation in 3d volumes.

DeepCell

CNN-based classifier for classifying neuronal cell bodies from ROI segmentation masks

domain-exploration

FreMIM

This repo holds the official code for the paper "FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation".

MobileViTv3

jvector

JVector: the most advanced embedded vector search engine

reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

keras

Deep Learning for humans

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

stable-diffusion

A latent text-to-image diffusion model

lecun1989-repro

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.