DiscoPoP - Discovery of Potential Parallelism
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Updated
Jul 18, 2024 - Python
DiscoPoP - Discovery of Potential Parallelism
Fast, flexible tools to simplify scientific Python
A high-performance distributed training framework for Reinforcement Learning
Foundational tools for BCG X's data science packages.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Provides an embarrassingly parallel tool with sql backend
Executor plugin interfacing Covalent with remote backends using SSH
Executor plugin interfacing Covalent with Amazon Braket Hybrid Jobs
Executor plugin interfacing Covalent with Amazon ECS Fargate
Executor plugin interfacing Covalent with Slurm
Executor plugin interfacing Covalent with Kubernetes
Executor plugin interfacing Covalent with AWS Lambda
Executor plugin interfacing Covalent with AWS Batch
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures
A simple and fast real-time data pipeline constructor package for Python
Easy to use map and starmap python equivalents
A reference repository for implementing Dynamic Mapping and Op Prioritization with Dagster.
n-body-simulation performance test suite
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