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☆95,583Updated 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…☆53,096Updated 2 weeks ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆46,211Updated last year
- Visualizer for neural network, deep learning and machine learning models☆31,941Updated this week
- The fundamental package for scientific computing with Python.☆30,936Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,717Updated last year
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools☆20,921Updated last week
- A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support☆16,188Updated last week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,378Updated 6 years 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☆15,489Updated 8 months ago
- Convert Machine Learning Code Between Frameworks☆14,229Updated last month
- Parallel computing with task scheduling☆13,638Updated last week
- 100 numpy exercises (with solutions)☆13,541Updated last month
- 机器学习相关教程☆12,710Updated 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…☆12,274Updated last year
- An open access book on scientific visualization using python and matplotlib☆11,118Updated last year
- NumPy aware dynamic Python compiler using LLVM☆10,769Updated this week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,662Updated last year
- NumPy & SciPy for GPU☆10,653Updated last week
- Open Machine Learning Course☆10,354Updated 3 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,304Updated last week
- 《利用Python进行数据分析·第2版》☆8,673Updated 2 weeks ago
- Trax — Deep Learning with Clear Code and Speed☆8,293Updated 2 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,977Updated last month
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆7,656Updated this week
- Repository to store sample python programs for python learning☆7,229Updated 4 months ago
- 中文 Python 笔记☆7,077Updated 5 years ago
- A flexible framework of neural networks for deep learning☆5,912Updated 2 years ago
- 🍊 Orange: Interactive data analysis☆5,478Updated last week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,970Updated 2 years 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☆4,805Updated last year
- Technical Analysis Library using Pandas and Numpy☆4,825Updated last year
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,506Updated this week
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆4,446Updated last year
- Fast data visualization and GUI tools for scientific / engineering applications☆4,248Updated last week
- N-D labeled arrays and datasets in Python☆4,030Updated this week
- C++ implementation of the Python Numpy library☆3,912Updated this week
- Performance analysis of predictive (alpha) stock factors☆4,014Updated last year
- Machine Learning Containers for NVIDIA Jetson and JetPack-L4T☆4,002Updated this week
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,665Updated last month