TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
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.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Portfolio and risk analytics in Python
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Quantitative analysis, strategies and backtests
Python library for interactive topic model visualization. Port of the R LDAvis package.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
General Modeling Network Specification
Compilado de recursos sobre Computação Quântica em português
Compiles Transportation Speed and Ridership Data
Tools to support transit service analysis.