AirLLM 70B inference with single 4GB GPU

Python package for conformal prediction

structured outputs for llms

Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Scalable and user friendly neural 🧠 forecasting algorithms.

Scalable machine 🤖 learning for time series forecasting.

Machine Learning in Finance: From Theory to Practice Book

catch22: CAnonical Time-series CHaracteristics

Conformal prediction in R

Code repository accompanying my bachelor thesis "Benchmarking conformal prediction methods for time series regression"

Vue.js component for Apache ECharts™.

JavaScript implementation of the Locally-Weighted Regression package originally written in C by Cleveland, Grosse and Shyu (1992)

R package for Adaptive Conformal Inference

Modern Time Series Forecasting with Python, published by Packt

Vue3 plugin for displaying and editing the array-of-object in Excel style.

Univer is an open-source productivity tool dev kit helping you integrate spreadsheets, docs and slides into your applications.

Luckysheet is an online spreadsheet like excel that is powerful, simple to configure, and completely open source.

Simple and flexible ML workflow engine

The Most Complete React UI Component Library

Code Repository for Machine Learning with PyTorch and Scikit-Learn

React UI + elegant infrastructure for AI Copilots, in-app AI agents, AI chatbots, and AI-powered Textareas 🪁

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

Python package for the creation, manipulation, and learning of Causal DAGs

The repository to showcase the best framework for tabular data - the Awesome CatBoost