Stars
⚡ TabPFN: Foundation Model for Tabular Data ⚡
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
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…
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
RAG that intelligently adapts to your use case, data, and queries
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Simple RDKit molecule editor GUI using PySide
Multiobjective black-box optimization using gradient-boosted trees
Resources for working with time series and sequence data
Algorithms for explaining machine learning models
A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications
Simple and focused time-series tables for PostgreSQL, from Tembo
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 …
Probabilistic time series modeling in Python
A python library for user-friendly forecasting and anomaly detection on time series.
Merlion: A Machine Learning Framework for Time Series Intelligence
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A Bayesian optimization toolbox built on TensorFlow
Experimental design and (multi-objective) bayesian optimization.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology