280 Open source projects that are alternatives of or similar to Caffe Segnet Cudnn5

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

Training Toolbox for Caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Tensorflow Implementation of Yahoo's Open NSFW Model

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

A deep convolutional neural network system for live emotion detection

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

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

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

DilatedNet in Keras for image segmentation

☕️ Fast-RCNN and Scene Recognition using Caffe

Trajectory-pooled Deep-Convolutional Descriptors

pytorch to caffe by onnx

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

A Caffe-based implementation of very deep convolution network for image super-resolution

AI on Hadoop

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

faster-rcnn c++ python model

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

A Computation Graph Virtual Machine Based Deep Learning Framework

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

Optimised Caffe with OpenCL supporting for less powerful devices such as mobile phones

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

Chainer implementation of waifu2x

collection of utilities to use with deep learning libraries (e.g. caffe)

UCloud AI SDK

MobileNet-v2 experimental network description for caffe

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

Class Activation Mapping with Caffe using the Python wrapper pycaffe instead of matlab.

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

Collection of deep learning demos based on neworks from the Caffe Zoo

A caffe implementation of MobileNet-YOLO detection network

Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

caffe-yolo-9000

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Counting people, dog and bicycle using SSD detection and tracking.

Setup and customize deep learning environment in seconds.

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

Add-on package for ONNX format support in Chainer

Evaluation of the CNN design choices performance on ImageNet-2012.

Deformable Convolutional Networks on caffe

Caffe for YOLOv2 & YOLO9000

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Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

train resnet on imagenet from scratch with caffe

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NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW