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☆88,447Updated 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…☆45,464Updated 2 weeks ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,197Updated 9 months ago
- Visualizer for neural network, deep learning and machine learning models☆29,810Updated this week
- The fundamental package for scientific computing with Python.☆29,171Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,031Updated last year
- 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools☆19,921Updated this week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,184Updated 5 years ago
- Convert Machine Learning Code Between Frameworks☆14,117Updated last month
- Parallel computing with task scheduling☆13,083Updated last 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☆13,264Updated 3 weeks ago
- 100 numpy exercises (with solutions)☆12,582Updated last month
- 机器学习相关教程☆12,139Updated 4 years ago
- An open access book on scientific visualization using python and matplotlib☆10,856Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,468Updated 11 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…☆10,772Updated 10 months ago
- NumPy aware dynamic Python compiler using LLVM☆10,322Updated last week
- Open Machine Learning Course☆9,964Updated 2 months ago
- NumPy & SciPy for GPU☆10,043Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,820Updated last month
- Trax — Deep Learning with Clear Code and Speed☆8,183Updated last month
- 《利用Python进行数据分析·第2版》☆8,206Updated 7 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,924Updated 2 months ago
- 中文 Python 笔记☆7,008Updated 4 years ago
- Repository to store sample python programs for python learning☆7,003Updated 8 months ago
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆6,745Updated last week
- A flexible framework of neural networks for deep learning☆5,909Updated last year
- 🍊 Orange: Interactive data analysis☆5,054Updated 2 weeks ago
- 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☆4,784Updated 5 months ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,800Updated last year
- Technical Analysis Library using Pandas and Numpy☆4,574Updated 8 months ago
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,380Updated 2 weeks ago
- Fast data visualization and GUI tools for scientific / engineering applications☆4,028Updated last week
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆3,936Updated 4 months ago
- N-D labeled arrays and datasets in Python☆3,753Updated this week
- C++ implementation of the Python Numpy library☆3,774Updated last month
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,557Updated last month
- Performance analysis of predictive (alpha) stock factors☆3,615Updated last year
- C++ tensors with broadcasting and lazy computing☆3,477Updated this week
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,180Updated last year