NumPy is a fundamental library for scientific computing in Python, widely used by application developers for its powerful array-handling capabilities. It introduces the `ndarray` object, which is highly efficient for numerical data storage and manipulation, allowing developers to perform operations on large arrays and matrices of numerical data with ease and performance that approaches lower-level languages like C. NumPy also provides a suite of mathematical functions, linear algebra routines, and random number capabilities, facilitating complex data analysis and modeling tasks. Interoperable with other scientific libraries like SciPy and Pandas, NumPy is an essential tool in the development of applications involving any numerical computation, serving as the backbone for a variety of tasks from data analysis to machine learning. Its broadcasting capabilities streamline operations on arrays of different shapes, enabling developers to write cleaner and more efficient code.
View the most prominent open source NumPy projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆85,920Updated this week
- 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may t…☆43,923Updated 3 months ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆43,644Updated 6 months ago
- Visualizer for neural network, deep learning and machine learning models☆29,114Updated this week
- The fundamental package for scientific computing with Python.☆28,565Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆27,724Updated 9 months ago
- 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools☆19,461Updated this week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,146Updated 5 years ago
- Convert Machine Learning Code Between Frameworks☆14,017Updated last week
- Parallel computing with task scheduling☆12,851Updated this week
- 阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构☆12,565Updated last month
- 100 numpy exercises (with solutions)☆12,339Updated last week
- 机器学习相关教程☆11,979Updated 4 years ago
- An open access book on scientific visualization using python and matplotlib☆10,776Updated 11 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,328Updated 9 months ago
- 人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning d…☆10,248Updated 7 months ago
- NumPy aware dynamic Python compiler using LLVM☆10,128Updated this week
- Open Machine Learning Course☆9,871Updated last week
- NumPy & SciPy for GPU☆9,690Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,655Updated this week
- Trax — Deep Learning with Clear Code and Speed☆8,136Updated this week
- 《利用Python进行数据分析·第2版》☆8,062Updated 4 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,898Updated this week
- 中文 Python 笔记☆6,976Updated 4 years ago
- Repository to store sample python programs for python learning☆6,920Updated 5 months ago
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆6,461Updated last week
- A flexible framework of neural networks for deep learning☆5,896Updated last year
- 🍊 Orange: Interactive data analysis☆4,954Updated last week
- MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架☆4,778Updated 2 months ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,700Updated last year
- Technical Analysis Library using Pandas and Numpy☆4,452Updated 6 months ago
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,338Updated this week
- Fast data visualization and GUI tools for scientific / engineering applications☆3,951Updated this week
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆3,760Updated last month
- N-D labeled arrays and datasets in Python☆3,684Updated this week
- C++ implementation of the Python Numpy library☆3,637Updated this week
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,547Updated last week
- Performance analysis of predictive (alpha) stock factors☆3,481Updated 11 months ago
- C++ tensors with broadcasting and lazy computing☆3,398Updated last month
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,144Updated last year