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caffe

Caffe: a fast open framework for deep learning.

caffemex_v2

A multi-GPU & memory-reduced MAT-Caffe on LINUX and WINDOWS

cnn-lstm-caption-generator

A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.

darknet

Convolutional Neural Networks

depthwiseconvolution

A personal mobile convolution layer implementation on caffe by liuhao.(only GPU)

east

A tensorflow implementation of EAST text detector

embedded-neural-network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

focal-loss

Reproduction of Focal-loss on caffe

hrnet-fcos

High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm

learngit

mask_rcnn

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

mobile-deep-learning

This research aims at simply deploying CNN(Covolution Neural Network) on mobile devices, with low complexity and high speed.

models

Models built with TensorFlow

mx-maskrcnn

A MXNet implementation of Mask R-CNN

pmtd

Pyramid Mask Text Detector designed by SenseTime Video Intelligence Research team.

python_xml

residual-attention-network

Residual Attention Network for Image Classification

revisitop

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

seglink

An Implementation of the seglink alogrithm in paper Detecting Oriented Text in Natural Images by Linking Segments

shufflenet

This is a fast caffe implementation of ShuffleNet.

simple-gbdt

a simple gradient boost classification tree implemented with python without any other lib dependence.

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

squeezenet-1

Tensorflow implementation of SqueezeNet.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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