Fundamental package for array computing in Python
Fundamental algorithms for scientific computing in Python
IPython: Productive Interactive Computing
JupyterLab computational environment
Natural Language Toolkit
Jupyter Notebook - A web-based notebook environment for interactive computing
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
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, keypoints) data, with optimized performance and seamless integration into ML workflows.
Microsoft Azure Compute Management Client Library for Python
Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
Compute a single hash of the file contents of a directory.
Efficiently computes derivatives of NumPy code.
Ultralytics THOP package for fast computation of PyTorch model FLOPs and parameters.
Open Source Differentiable Computer Vision Library for PyTorch
A comprehensive library for computational molecular biology
Low level implementations for computer vision in Rust
Freely available tools for computational molecular biology.
Hassle-free computation of shareable, comparable, and reproducible BLEU, chrF, and TER scores
High-performance image processing functions for deep learning and computer vision.
A fast & compressed ndarray library with a flexible compute engine.
Apache Sedona is a cluster computing system for processing large-scale spatial data
Microsoft Azure Machine Learning Compute Management Client Library for Python
A set of easy-to-use utils that will come in handy in any Computer Vision project
Microsoft Azure Hybrid Compute Management Client Library for Python
Compute positions of the planets and stars
Compute distance between the two texts.
An abstraction layer for distributed computation
VTK is an open-source toolkit for 3D computer graphics, image processing, and visualization
Remote Python Call (RPyC) is a transparent and symmetric distributed computing library
Collection of common code shared among different research projects in FAIR computer vision team
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration
Python bindings for MPI
Change point detection for signals in Python.
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.
QUick and DIrty Domain Adaptation
Video scene cut/shot detection program and Python library.
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.
Integration tools for running scikit-learn on Spark
Full Python ROUGE Score Implementation (not a wrapper)
Image augmentation library for deep neural networks
Client library for OpenStack Compute API
Loman tracks state of computations, and the dependencies between them, allowing full and partial recalculations.
Microsoft Azure Cognitive Services Computer Vision Client Library for Python