64 Open source projects that are alternatives of or similar to codex-africanus

STUMPY is a powerful and scalable Python library for modern time series analysis

A full pipeline AutoML tool for tabular data

Scalable machine 🤖 learning for time series forecasting.

AntroPy: entropy and complexity of (EEG) time-series in Python

Native Dask collection for awkward arrays, and the library to use it.

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.

Python module to analyse skeleton (thin object) images

Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.

🚀 Make your Python code fly at transonic speeds!

Python classes for data manipulation

Earth System Model Lab (esmlab). ⚠️⚠️ ESMLab functionality has been moved into <https://github.com/NCAR/geocat-comp>. ⚠️⚠️

N-D labeled arrays and datasets in Python

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

fftw3 based radio-astronomy data collection and dissemination (see project on hackster.io website)

Rainfall-Runoff modelling playground

Start a cluster in EC2 for dask.distributed

Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

🪴 Nebari - your open source data science platform

Numba extension for Intel(R) XPUs

Fast & furious GroupBy operations for dask.array

Interactive Mandelbrot set on GPU with Python

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

MadPy Dask talk materials

📡 Virgo: A Versatile Spectrometer for Radio Astronomy

A flexible Python platform for Regularized Maximum Likelihood imaging

A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Machine Learning Operator & Controller for Kubernetes

Material for a 24 hours course on Scientific Python

🎛 Distributed machine learning made simple.

pycraf is a package that provides functions and procedures for various tasks in spectrum-management compatibility studies.

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Distributed Xarray with Apache Beam

Python client for using Prefect Cloud with Saturn Cloud

Parallel computing with task scheduling

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

Notebooks that support blog posts and tech talks on Dask / Coiled.

Run Numba compiled functions into SQLite

Deprecated, please use https://github.com/jcrist/skein or https://github.com/dask/dask-yarn instead

Python wrapper around GraphBLAS

This package provides GNUradio OOT modules and grc flowgraphs that fascilates Radio Astronomy Observations with software defined radio devices.

Short course on computer vision and image processing using Numba+CUDA+OpenCV

SQL on dataframes - pandas and dask

A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

Just a small test to see which language is better for extending python when using lists of lists

Read and write rasters in parallel using Rasterio and Dask

A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.

A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.

Code and more for the QUB Development Weeks event 'High Performance Python'

Php ile uavt adres kodu botu

A stream processing framework for high-throughput applications.

⚡️ An efficient cache for the execution of dask graphs.

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.

Distributed SQL Engine in Python using Dask

Benchmark(s) of numerical programs with Python (and Scipy, Pythran, Numba), Julia and C++.

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

A library for managing, validating, summarizing, and visualizing data.