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Top 49 convolution open source projects

Image Js
Image processing and manipulation in JavaScript
Skimcaffe
Caffe for Sparse Convolutional Neural Network
Convolve
Simple demonstration of separable convolutions
Laser
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
Etl
Blazing-fast Expression Templates Library (ETL) with GPU support, in C++
Rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Sparse Winograd Cnn
Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
Pyeco
python implementation of efficient convolution operators for tracking
Psconv
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Jamesdspmanager
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.
Pytsetlinmachine
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
Pyspeechrev
This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.
Scidart
Multiplatform scientific computing for Dart
Coordconv
Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
Fft Conv Pytorch
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Anomaly detection
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.
Capsgnn
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Yann
This toolbox is support material for the book on CNN (http://www.convolution.network).
Canvas Img Process
html5 canvas image process ( 3*3 kernel ) canvas卷积核测试 canvas图片后期
Image Processing
Image Processing Toolbox in Verilog using Basys3 FPGA
Mnn
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Vkfft
Vulkan Fast Fourier Transform library
Surge
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
Libxsmm
Library for specialized dense and sparse matrix operations, and deep learning primitives.
Conditional Pixelcnn Decoder
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Dsp Theory
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Numpycnn
Building Convolutional Neural Networks From Scratch using NumPy
Sota Py
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
Imaging
Imaging is a simple image processing package for Go
Shufflenet
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
NonuniformBlur
Authors' implementation of my SIGGRAPH Asia 2019 Technical Briefs (The Power of Box Filters: Real-time Approximation to Large Convolution Kernel by Box-filtered Image Pyramid) demo I (just for reference). A very fast approximation to large-kernel Gaussian blur with nonuniform blur radii, by making use of box-filtered mip maps V-cycle (theoratica…
shellnet
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
riconv
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
cnn np
使用numpy构建cnn复习深度学习知识
dsp-theory
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
deep-scite
🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
WebSight
Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.
spark-convolution-patch
Convolution and other super-patches (blur, sharpen)
IrradianceMap
Authors' implementation of my SIGGRAPH Asia 2019 Technical Briefs (The Power of Box Filters: Real-time Approximation to Large Convolution Kernel by Box-filtered Image Pyramid) demo II. Real-time dynamic irradiance mapping.
1-49 of 49 convolution projects