399 Open source projects that are alternatives of or similar to List-CoreML-Models

Largest list of models for Core ML (for iOS 11+)

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

🌅 iOS11 demo application for visual sentiment prediction.

Predict handwritten digits with CoreML

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

Visualizer for neural network, deep learning, and machine learning models

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Build your iOS 11+ apps with the ready-to-use Core ML models below

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Use caffe to train your own data in just one click

Deep learning software for colorizing black and white images with a few clicks.

Reimplement RetinaFace use C++ and TensorRT

A Caffe Re-Implementation of SENet

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Deformable Convolutional Networks on caffe

Caffe for YOLOv2 & YOLO9000

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

code for py-R-FCN-multiGPU maintained by bupt-priv

pytorch 2 caffe

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Caffe for Sparse Convolutional Neural Network

MTCNN Face Detection & Alignment

A caffe implementation of mobilenet's depthwise convolution layer.

Fine-grained classification via second order statistics in a compact end-to-end trainable model

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

Data Augmentation for Caffe

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

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

Oriented Response Networks, in CVPR 2017

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.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

The NNEF Tools repository contains tools to generate and consume NNEF documents

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Real-World Anomaly Detection in Surveillance Videos

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

MTCNN with Motion Detection, on Raspberry Pi with Love

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

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

Auto-ReID and Other Person Re-Identification Projects

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Domain Guided Dropout for Person Re-identification

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

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

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

Squeeze-and-Excitation Networks

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

AI on Hadoop

php wrapper for opencv

Noise-Tolerant Paradigm for Training Face Recognition CNNs

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

ID-discriminative Embedding (IDE) for Person Re-identification

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE