65 Open source projects that are alternatives of or similar to riconv

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

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.

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

Vulkan Fast Fourier Transform library

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OpenGL Based Python Library for 3D visualization of Point Clouds & Depth Maps

This toolbox is support material for the book on CNN (http://www.convolution.network).

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

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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.

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When using the ViewPager widget it is not always obvious to the user that there are adjacent views they can navigate to. By implementing this widget you provide a clear indicator that there exists additional content which they can click or swipe to see.

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

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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…

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

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Xilinx Deep Learning IP

Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

Automatically registers (aligns) and visualizes point clouds, or processes a whole bunch at once

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Active Convolution

Python implementation of RGBD-PTAM algorithm

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

A lightweight tool for labeling 3D bounding boxes in point clouds.

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This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Multi primitive-to-primitive (MP2P) ICP algorithms in C++

Understanding Convolution for Semantic Segmentation

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Library for specialized dense and sparse matrix operations, and deep learning primitives.

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Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

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No description or website provided.

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