David R. Palmer's starred repositories
scikit-learn
scikit-learn: machine learning in Python
awesome-osint
:scream: A curated list of amazingly awesome OSINT
ta-lib-python
Python wrapper for TA-Lib (http://ta-lib.org/).
apscheduler
Task scheduling library for Python
pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Awesome-Rust-MachineLearning
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
rq-scheduler
A lightweight library that adds job scheduling capabilities to RQ (Redis Queue)
awesome-flake8-extensions
:octocat: A curated awesome list of flake8 extensions. Feel free to contribute! :mortar_board:
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Bash-Cheat-Sheet
A cheat sheet for bash commands.
pandas_alive
Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`
GpgFrontend
A free, open-source, robust yet user-friendly, compact and cross-platform tool for OpenPGP encryption. It stands out as an exceptional GUI frontend for the modern GnuPG (gpg).
blpapi-python
Bloomberg Python API
orange3-timeseries
🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
financial-indexes-correlation
Analyze financial data correlations
pycaret-feedstock
A conda-smithy repository for pycaret.