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ml_mixins

Useful Python Mixins for ML

ml_toolkit

A variety of oft-used ML utils, presented via a consistent API.

molecule_ge_coordinated_embeddings

multisource_args

A simple utility for maintaining arguments that can be used across multiple interfaces (predominately CLI and Jupyter Notebooks)

neural_hyperparameter_dists

Distributional Utilities for ANN Hyperparameter Search

node-static

rfc 2616 compliant HTTP static-file server module, with built-in caching.

nuclearkineticsmodelling

A repository for modeling code to examine nucleus re-orientation during reproduction in C. Elegans

persim

Distances and representations of persistence diagrams

pint

Operate and manipulate physical quantities in Python

polars

Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js

prancer

prancer_client

Just the client code from https://github.com/mmcdermott/prancer (forked form https://github.com/clinicalml/prancer)

prancer_server

Just the server code of https://github.com/mmcdermott/prancer (forked then updated from https://github.com/clinicalml/prancer)

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

private_pub

Handle pub/sub messaging through private channels in Rails using Faye.

pytorch_implicit_gradients

Approximate methods to compute implicit meta-gradients for meta-learning in PyTorch.

pytorch_lognormal_mixture

An easily installable version of the PyTorch Lognormal Mixture Model from https://github.com/shchur/ifl-tpp

rc_files

RC Files

running_literature_review

A running summary of papers read & literature reviewed

sampling

sampling.js

sciencify

An up-to-date repo for Sciencify.me

screenshot-stream

Capture screenshot of a website and return it as a stream

snns

Tutorials and implementations for "Self-normalizing networks"

structure_inducing_pre-training

structure_preserving_pre-training

Code for structure preserving pre-training

symgpfactorizer

A repository for the code from my Senior Thesis in Mathematics: designing fast algorithms to change bases in the context of the action of the symmetric group on tabloid spaces.

test_project_hydra_lightning_ax

A test project repository for exploring Hydra, PyTorch Lightning, and Ax/Botorch

topic_manifolds

Code to take objects assigned probabilistic labels (most directly through something like topic modelling where there is a mechanistic assumption about how the objects are generated) and localize them onto user-input simplicial manifolds.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.