paulmorio

ml-engineering

Machine Learning Engineering Open Book

connections

Reinforcement learning environments for classical, intuitionistic, and modal first-order connection calculi.

ProteinWorkshop

Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)

denoising_diffusion_samplers

GNN-C2L

Source code associated with "Spatio-relational inductive biases for spatial cell type deconvolution"

pyrelational

pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.

GearNet

GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

DrugPairScoringDR

Repository for Distributed representations of graphs for drug pair scoring

SymDLNN

Code base acompanying the paper Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery

min-dalle

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

tigerlily

TigerLily: Finding drug interactions in silico with the Graph.

awesome-equivariant-network

Paper list for equivariant neural network

mathematics_conjectures

GP_Sinkhorn

GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134

caer

High-performance Vision library in Python. Scale your research, not boilerplate.

tutorials2021

Mediterranean Machine Learning school tutorials

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

py27hash

Python 2.7 hashing and iteration in Python 3+

Easy_running_HPC_CamBioInfo

Example code and script for using Cam-HPC

InvariantRiskMinimization

PyTorch code to run synthetic experiments.

GPflow

Gaussian processes in TensorFlow

practicals

tgn

TGN: Temporal Graph Networks

networkit

NetworKit is a growing open-source toolkit for large-scale network analysis.

easy_rust

Rust explained using easy English

datasette

An open source multi-tool for exploring and publishing data

himp-gnn

Hierarchical Inter-Message Passing for Learning on Molecular Graphs

tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

DL4MolecularGraph

Literature of deep learning for graphs in Chemistry and Biology