DavidHSTai (giorking)

giorking

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Location:Bay area

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DavidHSTai's starred repositories

models

Models and examples built with TensorFlow

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

awesome-deep-vision

A curated list of deep learning resources for computer vision

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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MMdnn

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.

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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SSD-Tensorflow

Single Shot MultiBox Detector in TensorFlow

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fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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MobileNet

MobileNet build with Tensorflow

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channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

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tensorflow-on-arm

TensorFlow for Arm

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DSOD

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

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wincnn

Winograd minimal convolution algorithm generator for convolutional neural networks.

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Deep-Learning-Tricks

Enumerate diverse machine learning training tricks.

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pynetbuilder

pyNetBuilder is a modular pytonic interface with builtin modules for generating popular caffe prototxt network file definitions.

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tripletloss

tripletloss in caffe

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Caffe-HRT

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.

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segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

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SkimCaffe

Caffe for Sparse Convolutional Neural Network

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mxnet-gan

MultiGPU enabled image generative models (GAN and DCGAN)

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tensorflow-nvJetson

TensorFlow for NVIDIA Jetson, also include patch and script for building.

DeepSkeleton

Code for CVPR2016 and TIP papers about Object Skeleton Detection with Fully Convolutional Neural Networks.

caffe-heatmap

Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.

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2D_detection

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

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CaffeModelCompression

Tool to compress trained caffe weights

darknet_mobilenet

mobilenet 与darknet yolo

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impl-pruning-caffemodel

Simple pruning example using Caffe

Machine_Learning

andrew ng course homework

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