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Waifu2x Caffe ⭐ 5,754

waifu2xのCaffe版

The rewritten engine, originally for tensorflow. Now all other backends have been ported here.

Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

Msnhnet ⭐ 666

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

Persistent Rnn ⭐ 559

Fast Recurrent Networks Library

Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework

Mini Caffe ⭐ 364

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

Convnet ⭐ 235

Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

Deeplearningshogi ⭐ 184

Caffe Rfcn ⭐ 181

Caffe branch for R-FCN

Mobilenet Ssd Tensorrt ⭐ 176

Accelerate mobileNet-ssd with tensorRT

Video Caffe ⭐ 173

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

Deeplabel ⭐ 157

A cross-platform desktop image annotation tool for machine learning

Caffe Segnet Cudnn5 ⭐ 148

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Centernet Tensorrt ⭐ 143

This is a C++ implementation of CenterNet using TensorRT and CUDA

High Efficiency Convolution Kernel for Maxwell GPU Architecture

WICWIU(What I can Create is What I Understand)

Vapoursynth Waifu2x Caffe ⭐ 103

waifu2x for VapourSynth by Caffe

Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

Caffe Parallel ⭐ 81

IEEE Transactions on Intelligent Transportation Systems (TITS), 2019

Caffe Windows Cudnn ⭐ 56

caffe with cudnn

Accelerating DNN Convolutional Layers with Micro-batches

Deeplab Context2 ⭐ 46

cuDNN Version Switcher

Openpose_ros ⭐ 43

ROS Catkin package wrapper for the OpenPose library from https://github.com/CMU-Perceptual-Computing-Lab/op

Pytorchtop Cpumem ⭐ 40

PyTorch / libtorch in TouchDesigner based on the CPUMemoryTOP example.

Pspnet Cudnn5 ⭐ 39

The PSPNET supported cudnn v.5 based on https://github.com/hszhao/PSPNet

Unreal_caffe ⭐ 37

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!

Nvidia_libs_test ⭐ 35

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Caffe Ssd Windows ⭐ 34

Darknet Cpp Windows ⭐ 33

Visual studio project files for Darknet-cpp inference

Mnist Cudnn ⭐ 32

CUDA for MNIST training/inference

Yolov4 Qtgui ⭐ 28

win10 vs2017 qt_demo yolov4

Vs_mxnet ⭐ 28

Use MXNet to accelerated Image-Processing in VapourSynth.

Ubuntu For Robotics ⭐ 27

This repository is for setting-up cuda-9/8, nvidia-396/387/384 driver, OpenCV-3.3, ROS Kinetic, Tensorflow-1.11/1.7/1.4/1.2.1, Pytorch-0.4

Caffe Gbd ⭐ 25

optimized caffe for GBD

Deeplab Windows ⭐ 23

3d Caffe ⭐ 21

3D Caffe library for 3D classification or segmentation problem.

A thin wrapper around miOpen and cuDNN

Caffe Zq ⭐ 19

集成了好几个版本的caffe

Coriander Dnn ⭐ 19

Partial implementation of NVIDIA® cuDNN API for Coriander, OpenCL 1.2

Caffe Enet ⭐ 18

Caffe_1.0_windows ⭐ 18

This is the latest version of Caffe_1.0 (windows branch) with Python3.6 support, with all examples converted to bat files for easy usage

Superresolution_video_gpu ⭐ 16

SuperResolution\SR\GPU\Traditional image processing

Caffe_fast_rcnn ⭐ 16

This caffe supports ssd, fast(er)-rcnn with cudnn v5

Pytorch Gpgpu Sim ⭐ 16

Modified version of PyTorch able to work with changes to GPGPU-Sim

Mobilenetv1 Ssd Tensorrt ⭐ 15

Got 100fps on TX2. Got 1000fps on GeForce GTX 1660 Ti. Implement mobilenetv1-ssd-tensorrt layer by layer using TensorRT API. If the project is useful to you, please Star it.

Libtorch_cpp_mobilenetv2_5classes ⭐ 15

I use mobilenetv2 to export a model with 5 classes, then use libtorch to load and run it.

Fcrn Depthprediction Cpp ⭐ 15

TensorFlow C++ inference for single view depth estimation (FCRN-DepthPrediction)

Convlstm_anomaly_detection ⭐ 15

Caffe Action ⭐ 14

fork from https://github.com/yjxiong/caffe

C++ framework for deep learning

Orb_segmentation ⭐ 14

使用语义分割将图像中的人分离出来,将原始图像中提取的ORB特征点落在人身上的剔除(用于SLAM的位姿

Detector Tensorrt Yolov5 Linux ⭐ 14

C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).

Eigenmha ⭐ 13

Forward and backward Attention DNN operators implementationed by LibTorch, cuDNN, and Eigen.

A lightweight DNN framework based on cuDNN

Neural_cam_ros ⭐ 12

This package is essentially a ros-wrapper of neural_cam. More features would be added in the future, geared towards mobile robot platform. Eventual goal of this package is to solve the problem of given an image, where is the obstacle with respect to the robot in a 3D space.

Darknet_wrapper ⭐ 12

A small wrapper around darknet

Caffe R Fcn ⭐ 10

The deep-learning framework Caffe that support faster-rcnn and RFCN

Caffe_ssd_lstm_lpr ⭐ 10

基于SSD+Resnet+CTC的中文车牌检测识别

Caffe2 Cpp ⭐ 10

Image classification and detection C++ example using caffe2 library

Caffe Multigpu ⭐ 9

linux && windows compatible caffe

Caffe Boo ⭐ 9

My own caffe-windows with additional layers and features

Caffe Rfcn ⭐ 8

Shm Learn ⭐ 6

A CUDA & cuDNN powered Deep Learning C++ Library with clean interface and faster training speed (6x more over Caffe)

Cuda Beginner Course Cpp Version ⭐ 6

【CUDA 12.1 并行编程入门(C++语言版)】配套代码

Caffe_rfcn_myversion ⭐ 6

Colorizetop ⭐ 6

Touchdesigner Colorizing TOP. Opencv Dnn colorizing

Cudnn Sample ⭐ 6

cuDNN sample codes provided by Nvidia

Sharkonvnet ⭐ 5

GPU CNN's for SHARK.

3d View Tracking ⭐ 5

Multiple RGB-D Camera-based User Intent Position and Object Estimation

Jetsonnano Arcface ⭐ 5

A GUI Face Detection on C++ base on MTCNN + Arcface on Jetson Nano / PC.

Profile how CUDA applications create and modify data in memory.

Cudnn Backpropagation ⭐ 5

MNIST digit recognition neural network application implemented using CUDNN.

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