Stars
Data and code for modeling and optimizing laser-induced graphene production.
🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
ML models + benchmark for tabular data classification and regression
Sequence-Structure-Surface Model for Protein Fitness Prediction (S3F)
HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
This is the official code repository for the paper NeurIPS 2024 spotlight paper "Kermut: Composite kernel regression for protein variant effects".
Bayesian algorithm execution (BAX)
Meta in-context learning for protein fitness prediction
Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)
A Library for Gaussian Processes in Chemistry
Deep universal probabilistic programming with Python and PyTorch
OpenML's Python API for a World of Data and More 💫
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to efficiently tune RL hyperparameters.
An interactive framework to visualize and analyze your AutoML process in real-time.
Hydra is a framework for elegantly configuring complex applications
ROBEL: Robotics Benchmarks for Learning with low-cost robots
Massively parallel rigidbody physics simulation on accelerator hardware.