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jh-lam's Projects

awesome-mediapipe icon awesome-mediapipe

A curated list of awesome MediaPipe related code examples, libraries and software

c-of icon c-of

Pytorch implementation for paper: A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow for Internet of Things

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffeonspark icon caffeonspark

Distributed deep learning on Hadoop and Spark clusters.

circuit_recognizer icon circuit_recognizer

final project that propose a way to convert hand-drawn circuit to computer schematic

cnn-howmanyfingers icon cnn-howmanyfingers

Count how many fingers are being held up, via a convolutional neural network (CNN) implemented in Keras + TensorFlow + OpenCV.

deepface icon deepface

DeepFace: A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python

deeplearning icon deeplearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

densenet-pytorch icon densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

dl4img icon dl4img

书籍《深度学习技术图像处理入门》代码环境 Docker 文件

esl-cn icon esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

facedetector icon facedetector

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

funpos icon funpos

Repository to evaluate Deep Learning Models for funscript generation

image-retrieval icon image-retrieval

Instance-level image retrieval, used in street-to-shop scene. Leveraging large-scale noisy data, and clean it automatically. Learning R-MAC descriptors using a larger network such as ResNet101. Train with a siamese architecture to optimize a triplet loss.

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