288 Open source projects that are alternatives of or similar to caffe-mobilenet-v3

Tensorflow implementation for two new MobileNetV3 models!

deep-learning platforms,framework,data（深度学习平台、框架、资料）

crnn.caffe

Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe

Caffe Wide-Residual-Network (WRN) Generator

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

A small tool to dump Caffe's *.caffemodel to JSON for inspection

Source code for 1st winner of face micro-emotion competition, FG 2017.

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

Caffe implementation for "Guided Optical Flow Learning"

Implemetation of Pyramid Scene Parsing Network in Pytorch

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

The code for preparing the training data for crowd counting / segmentation algorithm.

CNN model inference benchmarks for some popular deep learning frameworks

Multiple ColorChecker Detection. This code implements a multiple colorChecker detection method, as described in the paper Fast and Robust Multiple ColorChecker Detection.

yolov5 onnx caffe

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

arcface and retinaface model convert mxnet to onnx.

Implement popular models by different DL framework. Such as tensorflow and caffe

XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

Surveillance System Against Violence

An open-source food image embedding model

A Caffe Implementation of SRGAN

The SimNets Architecture's Implementation in Caffe

Training Low-bits DNNs with Stochastic Quantization

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

The U-Net Segmentation server (caffe_unet) for Docker

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

pytorch to caffe by onnx

caffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

A Deep Learning Framework customized for Sunway TaihuLight

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

Python REST API to detect images with adult content

73.6% GhostNet 1.0x pre-trained model on ImageNet

Full package for applying deep learning to virtual slides.

Modified RefineDet

DeepDetect performance sheet

No description or website provided.

install script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)

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Xception implemented with caffe

caffe based mobilenet v2 deploy

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

Deep Developmental Reinforcement Learning

Mxnet2Caffe_Tensor RT

[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).

Conversion of yolo from DarkNet to Caffe

Facial landmarks detection with OpenCV, Dlib, DNN

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🎯 保姆级深度学习从入门到放弃 🤪 🤪

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