Stars
High-performance TensorFlow library for quantitative finance.
A Python SDK to convert received raw data from crypto exchange API endpoints into well-formed python dictionaries.
Executes commands in response to file modifications
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Resources for Machine Learning Pocket Reference
A modern Neovim configuration with full battery for Python, Lua, C++, Markdown, LaTeX, and more...
Blazing fast Neovim framework providing solid defaults and a beautiful UI, enhancing your neovim experience.
tall, condensed, bitmap font for geeks
Kata for a legacy code hands-on session. The objective is to write tests and refactor the given legacy code.
Exercises to unit test legacy code
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
🔎 📈 🐍 💰 Backtest trading strategies in Python.
List of papers, code and experiments using deep learning for time series forecasting
A unified framework for machine learning with time series
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
An advanced crypto trading bot written in Python
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Technical Indicators implemented in Python using Pandas
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Fully Convlutional Neural Networks for state-of-the-art time series classification
InceptionTime: Finding AlexNet for Time Series Classification
A TensorFlow 2 Implemention of Deep Adaptive Input Normalization for Time Series Using Keras API
NO LONGER MAINTAINED. DEVELOP FOR 4.X+ DUDE.
ROS GraphSLAM implementation using the Canonical Scan Matcher and G2O