72 Open Source Convolution Software Projects
Free and open source convolution code projects including engines, APIs, generators, and tools.
Jounce Surge 4780 ⭐
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
Mnn 4695 ⭐
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Conditional Pixelcnn Decoder 470 ⭐
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Libxsmm 485 ⭐
Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives.
Sota Py 378 ⭐
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
Dsp Theory 353 ⭐
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Numforge Laser 178 ⭐
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
Fc Densenet Tensorflow 114 ⭐
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.
Jamesdspmanager 119 ⭐
Audio DSP effects build on Android system framework layer. This is a repository contains a pack of high quality DSP algorithms specialized for audio processing.
Psconv 104 ⭐
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Angus924 Rocket 110 ⭐
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Pyspeechrev 69 ⭐
This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.
Shellnet 66 ⭐
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Pytsetlinmachine 63 ⭐
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing
Coordconv 68 ⭐
Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
Anomaly_detection 45 ⭐
This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.
Ragavvenkatesan Yann 41 ⭐
This toolbox is support material for the book on CNN (http://www.convolution.network).
Dilated Convolutional Layer Implementation 22 ⭐
An implementation of dilated convolutional layer based on Darknet Architecture
Fp23fftk 23 ⭐
Floating point Forward/Inverse Fast Fourier Transform (FFT) IP-core for newest Xilinx FPGAs (Source lang. - VHDL).
Websight 20 ⭐
Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.
Pytsetlinmachineparallel 22 ⭐
Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
Deep Scite 19 ⭐
:rowboat: A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
Numpy_ltspice_filter 20 ⭐
A python module for seamless integration of analog filters designed in LTspice into Python3/Numpy signal processing projects.
Cr33zz Neuro 14 ⭐
C# implementation of neural networks library. Contains basic types of layers (dense, convolution, pooling, flatten). Supports single CPU, Multi-CPU and GPU tensor operations (using ManagedCUDA). This project is no longer developed, since I ported it to C++ and greatly expanded (Neuro_).
Latte 11 ⭐
Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.
Localfilters.jl 10 ⭐
Multi-dimensional local filters (convolution, mathematical morphology, etc.) for Julia.
Pytorch_convnd 10 ⭐
Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.