Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

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

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Your new Mentor for Data Science E-Learning.

The on premise, open source version of Eventuate, which is a platform for developing transactional business applications that use the microservice architecture.

Repository for my post's draw.io diagrams

Detect Vietnamese mobile carrier by phone number

Python Data Science Handbook: full text in Jupyter Notebooks

Hands-On Data Science and Python Machine Learning, published by Packt

Face recognition with deep neural networks.

High Scalability, High Availability, and High Stability Back-end Design Patterns

Source code in ebook Machine Learning

A curated list of awesome Machine Learning frameworks, libraries and software.

All Algorithms implemented in Python

My Python Examples

Dual LSTM Encoder for Dialog Response Generation

A complete daily plan for studying to become a machine learning engineer.

Mirror of Apache Spark

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

High Performance Inter-Thread Messaging Library

machine learning examples in python

for coursera johns hopkins data science courses

all of J2EE project here