280 Open source projects that are alternatives of or similar to Caffe Int8 Convert Tools

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

A lightweight framework using binary hash codes and deep learning for fast image retrieval.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

Convert Caffe models to PyTorch

全平台实时人脸检测和姿态估计，提供无需任何框架实现Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS

Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.

Rotate RoI Align and Rotate Position Sensitive RoI Align Operation in Caffe

load caffe prototxt and weights directly in pytorch

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Deep networks for Earth Observation

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

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

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converted with a python script.

Caffe for Sparse and Low-rank Deep Neural Networks

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

UCloud AI SDK

A REST API for Caffe using Docker and Go

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.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Go package for computer vision using OpenCV 4 and beyond.

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

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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

This repo is implemented based on detectron2 and centernet

DilatedNet in Keras for image segmentation

This is a fast caffe implementation of ShuffleNet.

☕️ Fast-RCNN and Scene Recognition using Caffe

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

pytorch to caffe by onnx

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

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

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

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

A real-time object detection framework of Yolov3/v4 based on caffe

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

ImageNet pre-trained models with batch normalization for the Caffe framework

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

Multi-object trackers in Python

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

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

Chainer implementation of waifu2x

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Tensorflow Implementation of Yahoo's Open NSFW Model

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

A-Fast-RCNN (CVPR 2017)

TensorRT for Yolov3

Deep Learning GPU Training System

No dependency caffe replacement