Pinned Repositories
arduino-esp32fs-plugin
Arduino plugin for uploading files to ESP32 file system
ArduinoTutorials
Basic Arduino tutorials for beginners
carbon_emissions
A project that analyses recent carbon emissions worldwide
chicken-coop-door-arduino
Simple and efficient chicken-coop automatic door Arduino sketch. It operates with a a BH1750 light meter and a 12vDC motor featured with slow-pace gearbox.
DFRobot_ESP_EC_BY_GREENPONIK
Read EC on ESP by using Gravity: Analog EC Sensor / Meter Kit V2, SKU:DFR0300
DNSServer---esp32
QuantLib
The QuantLib C++ library
quantstats
Portfolio analytics for quants, written in Python
sktime
A unified framework for machine learning with time series
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
lbsm2017's Repositories
lbsm2017/chicken-coop-door-arduino
Simple and efficient chicken-coop automatic door Arduino sketch. It operates with a a BH1750 light meter and a 12vDC motor featured with slow-pace gearbox.
lbsm2017/arduino-esp32fs-plugin
Arduino plugin for uploading files to ESP32 file system
lbsm2017/ArduinoTutorials
Basic Arduino tutorials for beginners
lbsm2017/carbon_emissions
A project that analyses recent carbon emissions worldwide
lbsm2017/DFRobot_ESP_EC_BY_GREENPONIK
Read EC on ESP by using Gravity: Analog EC Sensor / Meter Kit V2, SKU:DFR0300
lbsm2017/DNSServer---esp32
lbsm2017/esp32-cloud-iot-core-k8s
Using Cloud IoT Core to connect an ESP32 to the Google Cloud Platform
lbsm2017/Financial_Forecasting_with_TensorflowJS
This is the code for "Financial Forecasting with Tensorflow.js" By Siraj Raval on Youtube
lbsm2017/finta
Common financial technical indicators implemented in Pandas.
lbsm2017/google-cloud-iot-arduino
Google Cloud IOT Example on ESP8266
lbsm2017/QuantLib
The QuantLib C++ library
lbsm2017/quantstats
Portfolio analytics for quants, written in Python
lbsm2017/sktime
A unified framework for machine learning with time series
lbsm2017/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
lbsm2017/IntroNeuralNetworks
Introducing neural networks to predict stock prices
lbsm2017/Low-Power
Low Power Library for Arduino
lbsm2017/Mastering-Python-for-Finance-source-codes
Accompanying source codes for my book 'Mastering Python for Finance'.
lbsm2017/OneWire
Library for Dallas/Maxim 1-Wire Chips
lbsm2017/plotly-tutorial
This Jupyter Notebook condenses the Plotly API into one easy to use document with examples
lbsm2017/pyql
Cython QuantLib wrappers
lbsm2017/python-binance
Binance Exchange API python implementation for automated trading
lbsm2017/Python-Tutorials
lbsm2017/QLNet
QLNet C# Library
lbsm2017/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.