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☆95,021Updated 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…☆52,102Updated last week
- Python Data Science Handbook: full text in Jupyter Notebooks☆45,995Updated last year
- Visualizer for neural network, deep learning and machine learning models☆31,793Updated this week
- The fundamental package for scientific computing with Python.☆30,787Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,648Updated last year
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools☆20,847Updated this week
- A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support☆16,134Updated this week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,371Updated 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☆15,293Updated 8 months ago
- Convert Machine Learning Code Between Frameworks☆14,234Updated 3 weeks ago
- Parallel computing with task scheduling☆13,590Updated this week
- 100 numpy exercises (with solutions)☆13,460Updated last week
- 机器学习相关教程☆12,673Updated 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…☆12,149Updated last year
- An open access book on scientific visualization using python and matplotlib☆11,107Updated last year
- NumPy aware dynamic Python compiler using LLVM☆10,723Updated this week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,650Updated last year
- NumPy & SciPy for GPU☆10,612Updated this week
- Open Machine Learning Course☆10,322Updated 2 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,269Updated 3 months ago
- 《利用Python进行数据分析·第2版》☆8,636Updated 2 months ago
- Trax — Deep Learning with Clear Code and Speed☆8,294Updated last month
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,971Updated 2 weeks ago
- Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy☆7,586Updated last week
- Repository to store sample python programs for python learning☆7,219Updated 3 months ago
- 中文 Python 笔记☆7,078Updated 5 years ago
- A flexible framework of neural networks for deep learning☆5,907Updated 2 years ago
- 🍊 Orange: Interactive data analysis☆5,465Updated this week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,963Updated 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☆4,802Updated last year
- Technical Analysis Library using Pandas and Numpy☆4,814Updated last year
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,498Updated 2 weeks ago
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆4,409Updated 11 months ago
- Fast data visualization and GUI tools for scientific / engineering applications☆4,225Updated 2 weeks ago
- N-D labeled arrays and datasets in Python☆4,013Updated last week
- C++ implementation of the Python Numpy library☆3,899Updated this week
- Performance analysis of predictive (alpha) stock factors☆3,982Updated last year
- Machine Learning Containers for NVIDIA Jetson and JetPack-L4T☆3,925Updated this week
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,659Updated last week