Name: Dr. Yong CHENG
Type: User
Company: WeBank
Bio: Senior Researcher and Team Leader.
Specialities: Programming (Python, C/C++), Math (optimization).
PhD (TU Darmstadt), MPhil (HKUST), B.Eng. (ZJU)
Location: Shenzhen, PR China
Dr. Yong CHENG's Projects
A curated list of practical financial machine learning (FinML) tools and applications in Python.
Federated Multi-Task Learning
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Topic Modelling for Humans
Getting Started with TensorFlow, published by Packt
GloVe model for distributed word representation
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
Comprehensive RPC framework with support for C++, C#, Java, JavaScript, Python and more.
iDash_task4_data_generation
Lectures for INFO8010 - Deep Learning, ULiège
Deep Learning for humans
Utilities for working with image data, text data, and sequence data.
Keras implementation of RetinaNet object detection.
Keras implementation of LSTM Variational Autoencoder
Leaf: A Benchmark for Federated Settings
Having Fun in Deep Learning
Minimal, clean example of lstm neural network training in python, for learning purposes.
Luk.ai Clients - Federated Machine Learning for Everyone!
一个持续更新的机器视觉学习历程
The code of "Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes"
(Unofficial) homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020
Run Kubernetes locally
MTCNN face detection implementation for TensorFlow, as a PIP package.
TensorFlow Neural Machine Translation Tutorial
Python-based tools for document analysis and OCR