Paul Tluczek's repositories
Superalgos
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
vnpy_dydx
vn.py框架的dYdX交易接口
dydxbot
A program for placing trades on the dYdX decentralised exchange automatically.
kubernetes-ci-cd
https://www.linux.com/blog/learn/chapter/Intro-to-Kubernetes/2017/5/set-cicd-pipeline-kubernetes-part-1-overview
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
spark-Jupyter-AWS
A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support
Deep-Learning-for-Professionals
For the Galvanize Deep Learning Evening Course 9/18
tahoe_healthcare_case_study
Using Data Science to reduce readmission rates
awesome-spark
A curated list of awesome Apache Spark packages and resources.
twitternlp
Using NLP to parse out street names from tweets that indicate a flooded road.
data_engineering_spark_project
Scraping glassdoor and sending processed output to postgres via Spark.
Neural-Network-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
awesome_time_series_in_python
This curated list contains python packages for time series analysis
w2v
Word2Vec models with Twitter data using Spark. Blog:
spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
TensorFlow-Tutorials-for-Time-Series
TensorFlow Tutorial for Time Series Prediction
qq-pat
The qq-pat library provides you with an easy interface for the creation of graphs and the calculation of statistics for financial time series. It provides functionality similar to the R library PerformanceAnalystics in Python. It allows you to draw graphs, calculate general statistics and perform some advanced analysis such as Monte Carlo simulations and minimum variance portfolio optimizations.
pairs-trading-cpp
Pairs Trading Strategy Implementation in C++
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
keras-resnet
Residual networks implementation using Keras-1.0 functional API
Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
Deep_Learning
Different variations of deep neural networks.
spark-gotchas
Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
pyspark-setup-guide
A guide for setting up Spark + PySpark under Ubuntu linux