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2019-ncov

Network-based Drug Repurposing for Human Coronavirus

adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

anomaly_detection

A list of anomaly detection and classification papers for robotics and the other area

anomaly_detection_vae

attention

some attention implements

autoencoders_public

Automatic feature engineering using deep learning and Bayesian inference.

awesome-huge-models

A collection of AWESOME things about HUGE AI models.

awesome-sentiment-analysis

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

ccmlwi

Predicting the stock market with sentiment analysis and LSTM techniques

cell-death-signatures

Analysis code for NAR manuscript

cnnc

covolutional neural network based coexpression analysis

coursera-churn-prediction

Churn prediction project

crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

cube.js

📊 Cube.js - Open Source Analytics Framework

deep-belief-nets-for-topic-modeling

This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.

deep-stock-preds

Multimodal and Multitask Deep Learning for Stock Price & Volatility Prediction

deep_portfolio

defi-by-example

detection-estimation-learning

Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.

dissertation_implied-volatility-surface-parameterization

Disseration for M.S. in Computer Science of class 2018 at HKU

drug-spending

Project to understand pharmaceutical spending, currently focused on US government programs.

dx

DX Analytics | Financial and Derivatives Analytics with Python

early-visual-concept-learning-recreation-of-some-results

Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning

easyquotation

实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情

entityembedding-working_example

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

examples

Example code from my blog posts

express_login_sample

Create a sample static login page with express , pug , bootstrap

factorizedhierarchicalvae

This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.