The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

David Attenborough narrates your life

🧮 A collection of resources to learn mathematics for machine learning

Collecting AMP MIC data from different sources, then running a GAN to output promising sequences

Noah Research

Generate high-quality triangulated and polygonal art from images.

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

A library that makes Evolutionary Strategies (ES) simple to use.

Composable kernels for scikit-learn implemented in JAX.

Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will update this as soon as possible.

The ViennaRNA Package

Fitness landscape exploration sandbox for biological sequence design.

Analysis for "Comprehensive fitness landscape of AAV capsid reveals a viral gene and enables machine-guided design"

Code for the paper "Language Models are Unsupervised Multitask Learners"

Animation engine for explanatory math videos

Lstm variational auto-encoder for time series anomaly detection and features extraction

Variational Auto-Encoders in a Sequential Setting.

An HP 2D Lattice Environment with a Gym-like API for the Protein Folding Problem

Metric learning algorithms in Python

Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

Aliro: AI-Driven Data Science

A python tool to visualise game animations

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Listing of papers about machine learning for proteins.

UniRep model, usage, and examples.

An open source python library for scalable Bayesian optimisation.