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☆90,188Updated 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…☆46,386Updated 2 months ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,526Updated 10 months ago
- Visualizer for neural network, deep learning and machine learning models☆30,212Updated this week
- The fundamental package for scientific computing with Python.☆29,509Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,168Updated last year
- 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools☆20,134Updated last week
- A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support☆15,674Updated this week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,214Updated 5 years ago
- Convert Machine Learning Code Between Frameworks☆14,199Updated 3 weeks ago
- 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☆13,717Updated 2 months ago
- Parallel computing with task scheduling☆13,204Updated this week
- 100 numpy exercises (with solutions)☆12,782Updated 2 weeks ago
- 机器学习相关教程☆12,270Updated 4 years 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…☆11,081Updated 11 months ago
- An open access book on scientific visualization using python and matplotlib☆10,909Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,494Updated last year
- NumPy aware dynamic Python compiler using LLVM☆10,425Updated last week
- NumPy & SciPy for GPU☆10,208Updated 3 weeks ago
- Open Machine Learning Course☆10,037Updated 2 weeks ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,919Updated 3 weeks ago
- 《利用Python进行数据分析·第2版》☆8,303Updated last month
- Trax — Deep Learning with Clear Code and Speed☆8,206Updated last month
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,936Updated 3 weeks ago
- Repository to store sample python programs for python learning☆7,052Updated 9 months ago
- 中文 Python 笔记☆7,025Updated 4 years ago
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆6,923Updated 3 weeks ago
- A flexible framework of neural networks for deep learning☆5,906Updated last year
- 🍊 Orange: Interactive data analysis☆5,186Updated this week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,834Updated last year
- 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☆4,792Updated 6 months ago
- Technical Analysis Library using Pandas and Numpy☆4,631Updated 10 months ago
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,408Updated this week
- Fast data visualization and GUI tools for scientific / engineering applications☆4,087Updated last week
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆3,997Updated 6 months ago
- C++ implementation of the Python Numpy library☆3,811Updated 2 weeks ago
- N-D labeled arrays and datasets in Python☆3,827Updated this week
- Performance analysis of predictive (alpha) stock factors☆3,708Updated last year
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,562Updated this week
- C++ tensors with broadcasting and lazy computing☆3,522Updated 3 weeks ago