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A Python library for machine-learning and feedback loops on streaming data

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A specification that python filesystems should adhere to.

Python 3.8+ toolbox for submitting jobs to Slurm

How to test a Dask pipeline with Pytest

JAX-based neural network library

The machine learning toolkit for time series analysis in Python

Optax is a gradient processing and optimization library for JAX.

Hardware accelerated, batchable and differentiable optimizers in JAX.

N-D labeled arrays and datasets in Python

This repository contains the code to generate timeseries prediction with the RNN family

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

🌊 Online machine learning in Python

scikit-learn: machine learning in Python

The Operator Splitting QP Solver

Deep Reinforcemen 42DB t Learning for Portfolio Optimization

Deploy Dask on job schedulers like PBS, SLURM, and SGE

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts