High-efficiency floating-point neural network inference operators for mobile, server, and Web
-
Updated
Jun 3, 2025 - C
High-efficiency floating-point neural network inference operators for mobile, server, and Web
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Identify the emotion of multiple speakers in an Audio Segment
[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
Implementation of convolution layer in different flavors
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
Convolutional Interactive Artificial Neural Networks by/for Astrophysicists
A minimalist Deep Learning framework for embedded Computer Vision
Low-level Machine Learning Library
A C implementation of common Artificial Neural Networks
A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).
A framework for the creation and training of vanilla and convolutional neural nets only depending on a C compiler and standard library
A small and modular Neural Networks library for C programs
Complete, simple and cool convolutional neural network framework, built from scratch, parallel able with OpenMP and almost dependency free. Supports custom architectures.
neural network for C programmers
SpMV-CNN: A set of convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product
Simple Convolutional Neural Network library
A machine learning trigger bot for Quake3 Arena & Quake Live.
Add a description, image, and links to the convolutional-neural-networks topic page so that developers can more easily learn about it.
To associate your repository with the convolutional-neural-networks topic, visit your repo's landing page and select "manage topics."