Cheng Li's Projects
Attention mechanism Implementation for Keras.
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
A Keras implementation of YOLOv3 (Tensorflow backend)
Koç University deep learning framework.
A docker image and kubernetes config files to run Airflow on Kubernetes
Machine Learning Toolkit for Kubernetes
Kungfu Trader
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
A C++ Template library, developed by Andrei Alexandrescu, the author of the book Modern C++ Design.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
My solutions to Kevin Murphy Machine Learning Book
A complete daily plan for studying to become a machine learning engineer.
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
Machinist is an automatic code generator by looking up mark-up blocks. Machinist2 is enhanced with Linux support.
中文语音识别,提供预训练模型,高识别率 Chinese Speech Recognition; Mandarin Automatic Speech Recognition;
Writing financial contracts in Julia
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
MITIE: library and tools for information extraction
Python example codes for the book: Machine Learning: A Baysian and Optimization Perspective
Website dedicated to a book on machine learning for factor investing
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Open source platform for the machine learning lifecycle
A Julia machine learning framework
Companion webpage to the book "Mathematics For Machine Learning"
Modin: Speed up your Pandas workflows by changing a single line of code