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Starred repositories
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
Pulp 3 pulpcore package https://pypi.org/project/pulpcore/
`FrozenList` is a `list`-like structure that implements `collections.abc.MutableSequence` and can be made immutable.
Asynchronous HTTP client/server framework for asyncio and Python
LPDI-EPFL / rstoolbox
Forked from jaumebonet/RosettaSilentToolboxPython Toolbox For Rosetta Silent Files Processing
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Parametric Building of de novo Functional Topologies
MaSIF-neosurf: surface-based protein design for ternary complexes.
Toolbox for working with streaming data as rough paths in Python
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.
An operating system designed for hosting containers
Hyperlight is a lightweight Virtual Machine Manager (VMM) designed to be embedded within applications. It enables safe execution of untrusted code within micro virtual machines with very low latenc…
Quickly generate, start and analyze benchmarks for molecular dynamics simulations.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
😎 A curated list of awesome MLOps tools
ORM and toolkit to help keep your Benchling schemas and downstream dependencies in sync.
KinDEL is a large DNA-encoded library dataset containing two kinase targets (DDR1 and MAPK14) for benchmarking machine learning models.
A collection of custom git commands that I use to maintain my monorepo. Includes support for bidirecional sync between a monorepo, and multiple subprojects
A curated list of awesome Monorepo tools, software and architectures.
A simple task queue implementation to enqeue jobs on local or remote processes.
A simple distributed queue designed for handling one-off tasks with large sets of tasks