Convolution Python Packages

mnn

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

einconv

Convolutions and more as einsum for PyTorch

convinterp

High-order convolution interpolation, derivatives and integrals on uniform grids in any dimension, for Python with a Rust core. Port of ConvolutionInterpolations.jl.

fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

pytsetlinmachineparallel

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

tmu

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

keras-hexagdly

Keras 3 hexagonal CNN layers (HexagDLy port) for hexagonally-sampled data — IACT/Cherenkov cameras, etc. — Support for hls4ml in progress

indexedconv

Code for the indexed convolution

pytorch-hexagdly

Process hexagonally sampled data with PyTorch

pytsetlinmachine

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget

conv

A lightweight library to do for-loop-styled convolution passes on your iterable objects (e.g.: on a list). Note: this is not a convolution, it is about exposing what would the kernel pass on in the first place in your loops.

graphtsetlinmachine

Tsetlin Machine for Logical Learning and Reasoning With Graphs

georacoon

The GeoRacoon (GR) is out and about -- ready to tackle Geographic Raster

torchnd

ND convolutions, complex convolutions, ND padding, etc

pytsetlinmachinecuda

Massively Parallel and Asynchronous Architecture for Logic-based AI

sphericalrht

Spherical harmonic convolutional Hough transform package

simplefilter

Python module for image convolution and ML classification.

zimage-mnn

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

debugui

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

mnncv

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

mnncompress

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

octconv

Octave Convolution Implementation in PyTorch

ndc

Numerical differentiation leveraging convolutions based on PyTorch

numpycnn

Building Convolutional Neural Networks From Scratch using NumPy