james-bowden
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A library to model multivariate data using copulas.
Evolutionary couplings from protein and RNA sequence alignments
Inference of couplings in proteins and RNAs from sequence variation
A generative latent variable model for biological sequence families.
A list of deep learning implementations in biology
Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Tokenizers and Machine Learning Models for biological sequence data
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
A JAX research toolkit for building, editing, and visualizing neural networks.
Plausibility checks for generated molecule poses.
Fast Differentiable Sorting and Ranking
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Manipulate JSON-like data with NumPy-like idioms.
A generative model for programmable protein design
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
A curated list of resources about generative flow networks (GFlowNets).
Benchmarks for Model-Based Optimization
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Really Fast End-to-End Jax RL Implementations
A highly efficient implementation of Gaussian Processes in PyTorch
Deep Bayesian Optimization for Problems with High-Dimensional Structure
Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022