Evolutionary algorithm toolbox and framework with high performance for Python
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Updated
Jun 2, 2024 - Python
Evolutionary algorithm toolbox and framework with high performance for Python
Computing with Python functions.
OpenCL integration for Python, plus shiny features
Python bindings for MPI
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
MindSpore online courses: Step into LLM
Parallel programming with Python
Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler
Analysis kit for large-scale structure datasets, the massively parallel way
📈 Adaptive: parallel active learning of mathematical functions
Distributed and Parallel Computing Framework with / for Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Fast Multi-Threaded Google Colab File Transfering
Bulk summarization of documents using ChatGPT API
A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.
Parallel Programming Course
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python 🚀
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
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