NumPy
FrameworkOpen-source projects built with NumPy
There are currently 113 open-source projects built with NumPy, with a combined total of 1088.2k GitHub stars. The most common language among these projects is Python.
Showing 113 open-source projects · page 1 of 4
A powerful Python library for data manipulation and analysis, providing fast, flexible data structures.
A powerful Python library for data analysis and manipulation, providing fast, flexible data structures.
A comprehensive guide to Python's essential data science libraries, available as free Jupyter notebooks.
A comprehensive collection of TensorFlow tutorials and examples for beginners, covering both TF v1 and v2 with clear explanations.
A library for efficient similarity search and clustering of dense vectors, scaling to billions of vectors on a single server.
A Python library for composable transformations of numerical programs: automatic differentiation, vectorization, and JIT compilation to GPU/TPU.
A Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and machine learning.
A Python library for composable transformations of numerical programs: automatic differentiation, vectorization, and JIT compilation to GPU/TPU.
Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility and transparency.
A comprehensive collection of Python sample codes and a textbook for robotics algorithms, covering localization, mapping, SLAM, path planning, and control.
A Python code collection and textbook for robotics algorithms, featuring implementations for localization, mapping, SLAM, path planning, and control.
An introduction to Bayesian inference and probabilistic programming using Python and PyMC, with a computational-first approach.
An array framework for machine learning on Apple silicon with unified memory and dynamic graph construction.
A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.
Companion materials and IPython notebooks for the 'Python for Data Analysis' book, covering pandas, NumPy, and data science workflows.
An automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth.
An open-source forecasting tool for time series data with multiple seasonality and linear or non-linear growth.
A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
A comprehensive collection of machine learning algorithms implemented exclusively in NumPy for educational purposes and prototyping.
A Python library for video editing, processing, and custom effects creation through code.
Open source implementation of AlphaFold 2, a deep learning system for highly accurate protein structure prediction.
A Python visualization library based on matplotlib for creating attractive statistical graphics with a high-level interface.
A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.
A high-performance Python DataFrame library for lazy out-of-core processing and visualization of billion-row datasets at interactive speeds.
A Python library for music and audio analysis, providing tools for feature extraction, visualization, and transformation.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
A PyTorch-based open-source framework for deep learning in healthcare imaging, providing domain-specific tools and workflows.
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.