convnet
Neural Network Engine
A high-performance GPU implementation of neural networks using C++
A GPU implementation of Convolutional Neural Nets in C++
506 stars
73 watching
229 forks
Language: Cuda
last commit: about 4 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 xuzhenqi/cnn | Provides an implementation of convolutional neural networks in MATLAB. | 95 |
 fengwang/ceras | An open-source C++ library for building and training neural networks | 120 |
 vlfeat/matconvnet | A MATLAB toolbox implementing Convolutional Neural Networks for computer vision applications. | 1,402 |
 andreasveit/convnet-aig | An implementation of an adaptive neural network architecture that dynamically defines its topology based on input images. | 185 |
 jatinchowdhury18/rtneural | Provides a lightweight neural network inferencing engine for real-time systems | 601 |
 karpathy/convnetjs | A JavaScript library for training and deploying neural networks in the browser | 10,889 |
 doonny/pipecnn | A tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design | 1,253 |
 charlotte-pel/temporalcnn | A deep learning-based approach to classifying satellite image time series using convolutional neural networks. | 149 |
 markdtw/condensenet-tensorflow | An implementation of CondenseNet, a model for efficient neural networks using learned group convolutions. | 29 |
 jihongju/keras-fcn | A library implementing a Fully Convolutional Network architecture with Keras support | 202 |
 tyill/sunnet | A lightweight C++ deep learning library for building and training neural networks. | 61 |
 cloud-cv/fabrik | An online platform to design and visualize neural networks collaboratively | 1,127 |
 shichenliu/condensenet | An efficient CNN architecture for mobile devices with learned group convolutions and dense connectivity | 694 |
| vlfeat/matconvnet-fcn | A Matlab implementation of fully convolutional networks for image segmentation. | 175 |
 torch/cunn | A CUDA implementation of neural network modules and related GPU operations | 215 |