#numpy

High Performance Computation for N-D Tensors in .NET, identical API to NumPy.

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

Collection of eclectic utils for python.

MessagePack serialization library for Python derived from orjson, written in Rust using PyO3

Fast NumPy array functions written in C

Efficient bindings between Numpy and Eigen using Boost.Python

Fluent, fully-typed assertion library for Python: your type checker sees only the assertions that fit the value, and every failure carries a structured diff. Soft assertions, polling, inline snapshots, OpenAPI contracts.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Fast, Complete NumPy for TypeScript & JavaScript

Python library for reading and writing image data

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

CMSIS-DSP embedded compute library for Cortex-M and Cortex-A

Optimised tools for group-indexing operations: aggregated sum and more

Array and grid manipulation for the PyAuto ecosystem

Visualizer for neural network, deep learning and machine learning models

Python library for configuring a package including defaults, env variable loading, and yaml loading.

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Synthetic data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server. In simple terms, a powerful demo data generator for sales/demos/seed data.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Read numpy .npy files in JavaScript