lakehui,github

knowledge_distillation_caffe

KnowledgeDistillation Layer (Caffe implementation)

largemargin_softmax_loss

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

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matconvnet_caffe_convert

the project convert a matconvnet model to caffe model

mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

mmdetection

Open MMLab Detection Toolbox and Benchmark

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.

mnasnet-caffe

A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

models

Models built with TensorFlow

models-1

Model configurations

mtcnn

mtcnn in python

mtcnn-1

Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.

mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.