scott-isaacson
Follow
Stars
All Algorithms implemented in Python
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Distributed Task Queue (development branch)
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
A python library for user-friendly forecasting and anomaly detection on time series.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Probabilistic time series modeling in Python
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Merlion: A Machine Learning Framework for Time Series Intelligence
Seamlessly integrate LLMs into scikit-learn.
RAG that intelligently adapts to your use case, data, and queries
Algorithms for explaining machine learning models
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Generate Diverse Counterfactual Explanations for any machine learning model.
Streamlit LLM app examples for getting started
PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.
Data Shapley: Equitable Valuation of Data for Machine Learning
Experimental design and (multi-objective) bayesian optimization.
A Bayesian optimization toolbox built on TensorFlow
Simple RDKit molecule editor GUI using PySide
ML4Chem: Machine Learning for Chemistry and Materials