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Studio Omame
- Yuzawa, Niigata, Japan
- https://www.linkedin.com/in/george-baptista-73a588146/
- @georgebaptista
- gp.baptista
Stars
Possibly the fastest DataFrame-agnostic quality check library in town.
macro that expands to the name of the annotated function
Algorithmic Short-Selling with Python
Code for Machine Learning for Algorithmic Trading, 2nd edition.
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Download market data from Yahoo! Finance's API
Polars extension for general data science use cases
Polars least squares extension - enables fast linear model polar expressions
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and o…
Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
Code and data for the Modern Polars book
Scalable machine 🤖 learning for time series forecasting.
Extremely fast Query Engine for DataFrames, written in Rust
Python calculations for the position of the sun and moon.
Simple sunset and sunrise time calculation python library.
The easiest way to get started with PostgreSQL on the Mac
An annotated implementation of the Transformer paper.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Transformers for Natural Language Processing, published by Packt
Implementation of Transformer Model in Tensorflow
DSPy: The framework for programming—not prompting—language models