Stars
18 Lessons to Get Started Building AI Agents
📊 APIs for web automation, testing, and bypassing bot-detection.
Using Transformer deep learning architecture to predict stock prices.
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
A nimble options research and backtesting library for Python
Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations. The Monte Carlo Simulation runs thousands of individual stock price …
Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 and get around browser fingerprinting scripts 🕵️♂️ when scraping the web?
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Example app that logs in with Facebook using Flask-Dance
Example app that logs in with Google using Flask-Dance
Example app that logs in with Facebook using Flask-Dance
Example app that logs in with Google using Flask-Dance
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Pandas integration with sklearn
Lessons Learned from GPU Experiments with Aparapi
An example of running Apache Spark using Scala in ipython notebook
jyt109 / neuraltalk
Forked from karpathy/neuraltalkNeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Restricted Boltzmann Machines in Python.
More Twitter Bootstrap Widgets for the IPython Notebook
Load CSV and display an interactive heatmap using Google Maps API
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
Samples for users of the Yelp Academic Dataset
A flexible framework of neural networks for deep learning