Pytorch implementation of various token mixers; Attention Mechanisms, MLP, and etc for understanding computer vision papers and other tasks.
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Updated
Jun 8, 2024 - Python
Pytorch implementation of various token mixers; Attention Mechanisms, MLP, and etc for understanding computer vision papers and other tasks.
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
An implementation of the system-wide JamesDSP audio processing engine for non-rooted Android devices
Convolutions and more as einsum for PyTorch
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Imaging is a simple image processing package for Go
Basic Topics of Image Processing and Computer Vision has been discussed with proper testing of images.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Official implementation of SPANet in ICCV2023
A Java Library for Digital Signal Processing
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
Time Series Classification Analysis of 21 algorithms on the UCR archive datasets + Introduction to a Convolution-based classifier with Feature Selection
A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural networks, with the plan to integrate more.
Plots absorption spectra from from ORCA output files
This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.
Plots IR spectra from from ORCA output files
This project implements an algorithm for rotating images by an arbitrary angle using the matrix decomposition approach described in the paper "Convolution-based interpolation for fast, high-quality rotation of images" by M. Unser, P. Thevenaz, and L. Yaroslavsky (IEEE Transactions on Image Processing, 1995).
American Sign Language (ASL) Detection using CNN
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