live code

Mastering-Python-Data-Analysis

A workshop on data privacy methods for data scientists.

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

Advanced Data Science, University of Illinois Spring 2017

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

trRosetta for protein design

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

Some articles written by Bao Jie

Some notebooks

This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model

Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades

Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.

A guide for setting up Spark + PySpark under Ubuntu linux

I will update this repository to learn Machine learning with python with statistics content and materials

this is my presentaion area .个人演讲稿展示区，主要展示一些平时的个人演讲稿或者心得之类的，

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

ChallengeHub开源的各大比赛baseline集合

INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois