Pinned Repositories
aima-data
Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
aima-exercises
Exercises for the book Artificial Intelligence: A Modern Approach
aima-glossary
aima-javascript
Javascript visualization (and implementation) of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
backtrader
Python Backtesting library for trading strategies
coinbasepro-python
The unofficial Python client for the Coinbase Pro API
dash
Analytical Web Apps for Python. No JavaScript Required.
kite-automatic-trading
To automatic trade on Kite (By Zerodha) with a Simple Moving Average strategy
python-onvif
ONVIF Client Implementation in Python
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.
buddha99's Repositories
buddha99/aima-data
Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
buddha99/aima-exercises
Exercises for the book Artificial Intelligence: A Modern Approach
buddha99/aima-glossary
buddha99/aima-javascript
Javascript visualization (and implementation) of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
buddha99/backtrader
Python Backtesting library for trading strategies
buddha99/coinbasepro-python
The unofficial Python client for the Coinbase Pro API
buddha99/dash
Analytical Web Apps for Python. No JavaScript Required.
buddha99/kite-automatic-trading
To automatic trade on Kite (By Zerodha) with a Simple Moving Average strategy
buddha99/python-onvif
ONVIF Client Implementation in Python
buddha99/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.
buddha99/aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
buddha99/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
buddha99/buddha99.github.io
buddha99/cbpro-trader
Automated cryptocurrency trading on Coinbase Pro (formerly gdax-trader)
buddha99/crypto_portfolio_analysis
A Jupyter notebook I use to analyze my crypto portfolio.
buddha99/deepschool.io
Deep Learning tutorials in jupyter notebooks.
buddha99/iscroll
Smooth scrolling for the web
buddha99/jupyter4kids
A series of notebooks that help teach kids principles of programming, python and maths.
buddha99/Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
buddha99/MotionVehicleTracker
This is a basic implementation of Location Tracker using Google Maps Api
buddha99/Pandas-Tutorial
Tutorial on Using Pandas
buddha99/pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
buddha99/python-binance
Binance Exchange API python implementation for automated trading
buddha99/Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
buddha99/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
buddha99/ScrollMagic
The javascript library for magical scroll interactions.
buddha99/Tensorflow-Programs-and-Tutorials
Implementations of CNNs, RNNs, GANs, etc
buddha99/ud851-Exercises
buddha99/ud851-Sunshine
buddha99/wikitter