Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
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Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Efficiently computes derivatives of NumPy code.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Performance analysis of predictive (alpha) stock factors
Fast data visualization and GUI tools for scientific / engineering applications
N-D labeled arrays and datasets in Python
C++ implementation of the Python Numpy library
C++ tensors with broadcasting and lazy computing
NumPy and Pandas interface to Big Data
napari: a fast, interactive, multi-dimensional image viewer for python
🎚️ Open Source Audio Matching and Mastering
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
A python module for scientific analysis of 3D data based on VTK and Numpy
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Python audio and music signal processing library
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
Fast NumPy array functions written in C
C++ template library for high performance SIMD based sorting algorithms
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!