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literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

longtarget

A bioinformatics tool written in C++ to predict the lncRNA/DNA binding motifs and binding sites.

machine-learning

Implementation of different ML Algorithms from scratch, written in Python 3.x

machine-learning-for-proteins

Listing of papers about machine learning for proteins.

machine-learning-for-trading

Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading

machine-learning-ifc

Machine Learning Workflow for Imaging Flow Cytometry (IFC)

machine-learning-resource

machine-learning-with-ontologies

machine_learning_cpp

Machine Learning C++

magic

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

making-it-rain

Cloud-based molecular simulations for everyone

mambo

mammalianmethylationconsortium

DNA methylation studies of mammalian species

man

Codes and data for the paper entitled "Learning representations of molecules to predict intermolecular interactions by constructing a large-scale heterogeneous molecular association network"

manuscript-transfer-signatures

marea

Metabolic feature extraction, enrichment and visualization of transcriptomic data

markerpen

Marker Gene Detection via Penalized Principal Component Analysis

masif

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

matchscore

maui

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

mc3

mcmc_pydata_london_2019

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

mc_gradients

medical-quantum-machine-learning

Practical Cancer Drug Discovery Generative Artificial Intelligence Software Innovation

medium-tsp

Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"

mesoscope-workshop

workshop on analyzing data from the two-photon mesoscope

meta-learning

meta-learning research

miracle

Miracle R Package lets users perform geneset enrichment and calculate Miracle Scores on a given RNA expression matrix

mixmhc2pred

HLA-II ligand predictor.