Computation

Fundamental package for array computing in Python

Fundamental algorithms for scientific computing in Python

IPython: Productive Interactive Computing

Computer algebra system (CAS) in Python

JupyterLab computational environment

Jupyter Notebook - A web-based notebook environment for interactive computing

Natural Language Toolkit

parallel graph management and execution in heterogeneous computing

Google Cloud Compute API client library

Statistical computations and models for Python

NVIDIA cuSPARSELt

A new flavour of deep learning operations

Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks) data, with optimized performance and seamless integration into ML workflows.

Microsoft Azure Compute Management Client Library for Python

Efficiently computes derivatives of NumPy code.

Ultralytics THOP package for fast computation of PyTorch model FLOPs and parameters.

Hassle-free computation of shareable, comparable, and reproducible BLEU, chrF, and TER scores

Open Source Differentiable Computer Vision Library for PyTorch

Freely available tools for computational molecular biology.

Compute positions of the planets and stars

A set of easy-to-use utils that will come in handy in any Computer Vision project

Compute a single hash of the file contents of a directory.

Microsoft Azure Machine Learning Compute Management Client Library for Python

High-performance image processing functions for deep learning and computer vision.

Apache Sedona is a cluster computing system for processing large-scale spatial data

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

A comprehensive library for computational molecular biology

Low level implementations for computer vision in Rust

A high-performance compressed ndarray library with a flexible compute engine

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.

An abstraction layer for distributed computation

Microsoft Azure Hybrid Compute Management Client Library for Python

Compute distance between the two texts.

Video scene cut/shot detection program and Python library.

Basic face library

VTK is an open-source toolkit for 3D computer graphics, image processing, and visualization

QUick and DIrty Domain Adaptation

Collection of common code shared among different research projects in FAIR computer vision team

Remote Python Call (RPyC) is a transparent and symmetric distributed computing library

Interactive Parallel Computing with IPython

Change point detection for signals in Python.

The Rerun Logging SDK

Image augmentation library for deep neural networks

A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, displaying Matplotlib images, sorting contours, detecting edges, and much more easier with OpenCV and both Python 2.7 and Python 3.

Full Python ROUGE Score Implementation (not a wrapper)

An open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas.

Aeva : represents a unit of computation in azureml-pipeline