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followers: 20.0 following: 53.0 repos: 32.0 gists: 0.0

Name: Steven Wang

Type: User

Company: wechat public account: MeanMachine1031

Bio: Machine Learning, Quantitative Finance, Quantitative Trading, Data Analytics

Location: Singapore

Steven Wang's Projects

adv-financial-ml-marcos-exercises

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

benchmarking-and-mli-experiments-on-the-adult-dataset

Contains benchmarking and interpretability experiments on the Adult dataset using several libraries

dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_reinforcement_learning_course

Notebooks from our series of blogpost about Deep Reinforcement Learning

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fastai

The fastai deep learning library, plus lessons and and tutorials

financialdatasets

SmoothNLP 金融文本数据集(公开) Public Financial Datasets for NLP Researches Only

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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.

meanmachine1031.github.io

a quant mania on machine learning, financial engineering and quantitative investing

ml_pocket_reference

Resources for Machine Learning Pocket Reference

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nlp-tutorial

A list of NLP(Natural Language Processing) tutorials

numpy-ml

Machine learning, in numpy

paper-reading

Paper Reading

prmlt

Matlab code for machine learning algorithms in book PRML

pydataroad

open source for wechat-official-account (ID:PyDataRoad)

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

supervised-learning-book

My very first book

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