59 Open source projects that are alternatives of or similar to 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 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…

Image processing and manipulation in JavaScript

Caffe for Sparse Convolutional Neural Network

Simple demonstration of separable convolutions

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

Blazing-fast Expression Templates Library (ETL) with GPU support, in C++

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

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

python implementation of efficient convolution operators for tracking

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

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.

Xilinx Deep Learning IP

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

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

Multiplatform scientific computing for Dart

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

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

Active Convolution

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.

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

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

html5 canvas image process ( 3*3 kernel ) canvas卷积核测试 canvas图片后期

Image Processing Toolbox in Verilog using Basys3 FPGA

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

Vulkan Fast Fourier Transform library

Understanding Convolution for Semantic Segmentation

A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.

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

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

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

Building Convolutional Neural Networks From Scratch using NumPy

Deep Learning in C#

A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem

Imaging is a simple image processing package for Go

Efficient Haskell Arrays featuring Parallel computation

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083

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

Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

使用numpy构建cnn复习深度学习知识

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

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

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

Convolution and other super-patches (blur, sharpen)

No description or website provided.

Massively Parallel and Asynchronous Architecture for Logic-based AI

DSP and filtering library

High Performance Computing (HPC) and Signal Processing Framework

glsl function for making cosine palettes

This is my personal library of code that is common to my different projects (Photosounder, SplineEQ, Spiral and others)

Subpixel Morphological AntiAliasing OpenGL/Vulkan demo

(DLAA) Directionally Localized antiAliasing

Rasterx is an SVG 2.0 path compliant rasterizer that can use either scany, the golang vector or a derivative of the freetype anti-aliaser.

SMAA (Enhanced Subpixel Morphological Antialiasing) post-processing; WebGL (OpenGL ES 2.0) implementation with no fluff.

Ray tracing sample using GGX reflection model, 1spp with spatial-temporal denoiser. Acceleration structure build uses async compute.

Authors' implementation of our SIGGRAPH Asia 2021 Technical Communications (Viewport-Resolution Independent Anti-Aliased Ray Marching on Interior Faces in Cube-Map Space) demo I. Fast volume rendering using our novel ray marching with smoke simulations by Eulerian grid method for solving Navier-Stokes equation.

Robust, efficient and low distortion bijective mapping in 2D and 3D

Source code for "Mononizing Binocular Videos" (SIGGRAPH Asia 2020)

[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior