YongGuCheng
Senior Researcher and Team Leader. Specialities: Programming (Python, C/C++), Math (optimization). PhD (TU Darmstadt), MPhil (HKUST), B.Eng. (ZJU)
WeBankShenzhen, PR China
Pinned Repositories
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
Deep-Learning-for-Tracking-and-Detection
Collection of papers and other resources for object tracking and detection using deep learning
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
dlib
A toolkit for making real world machine learning and data analysis applications in C++
FATE
An Industrial Level Federated Learning Framework for the Federated AI ecosystem
federated
A framework for implementing federated learning
federated-learning-with-grpc-docker
A simple application that uses docker and gRPC to demonstrate fedrated learning
fedlearn-algo
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
Reinforcement-Learning-for-A-Stock-Quant-Investiment
Reinforcement Learning Procedure for Quant Investment in Chinese A-Stock Market
YongGuCheng's Repositories
YongGuCheng/maching-learning-and-cv
一个持续更新的机器视觉学习历程
YongGuCheng/Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
YongGuCheng/caffe
Caffe: a fast open framework for deep learning.
YongGuCheng/stn-ocr
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
YongGuCheng/seglink
Detecting text by linking segments.
YongGuCheng/chinese-ocr
运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别
YongGuCheng/Federated-Learning
YongGuCheng/keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
YongGuCheng/Learning-DeepLearning
Having Fun in Deep Learning
YongGuCheng/splitnet-wrn
Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
YongGuCheng/rnn2d
CPU and GPU implementations of some 2D RNN layers
YongGuCheng/vector-homomorphic-encryption
6.857 project - implementation of scheme for encrypting integer vectors that allows addition, linear transformation, and weighted inner products.
YongGuCheng/Delayed-Compensation-Asynchronous-Stochastic-Gradient-Descent-for-Multiverso
Asynchronous Stochastic Gradient Descent with Delay Compensation
YongGuCheng/Easypr_JavaFrame
增加视频捕捉的车牌识别,基于ezpr的完善。通过捕捉帧,解决数据转化的难点,进而由Easypr开源库进行一系列识别处理。具体能效可进一步自行优化。
YongGuCheng/ConvolutionalAutoencoder
Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow
YongGuCheng/SparkNet
Distributed Neural Networks for Spark
YongGuCheng/nlp-metrics
Python implementation of BLEU and ROUGE metrics
YongGuCheng/Regionlets-for-generic-object-detection
Implementing Regionlets for generic object detection. Code with dataset can be found in the following link
YongGuCheng/private-set-intersection
A python library providing several polynomial-based Private Set Intersection protocols.
YongGuCheng/Font