Popular GitHub Repositories for Horizon

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

? Horizon AI Template - Trendiest Open-source ChatGPT UI AI Template & Starter Kit for React, NextJS & Chakra UI

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

Multi-time-horizon solar forecasting using recurrent neural network

Enabling robots to perform long-horizon dexterous tasks with imitation learning

Inference YOLOv8 segmentation on ONNX, RKNN, Horizon and TensorRT

A long-horizon, sparse-reward math environment for reinforcement learning. Official code repo for "What makes Math problems hard for reinforcement learning: A case study".

[ICRA 2025] DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment

Code for "Long Horizon Forecasting With Temporal Point Processes", WSDM 2021

PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023

Code for "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", IJCAI 2022

Code for reproducing results from the paper "Unified Long Horizon Time Series Benchmark"

Code for our paper LLaMAR: LM-based Long-Horizon Planner for Multi-Agent Robotics

Inference YOLOv8 detection on ONNX, RKNN, Horizon and TensorRT

An implementation of Short Horizon Actor Critic writen in Jax. Core algorithm written in the style of Brax, with several bits taken from Xu's original paper.

MaskPlanner is a deep learning model for the quick generation of multiple, long-horizon paths from free-form 3D objects represented as point clouds.

Trading system that aims to buy stocks when they are low and sell stock when they have risen. The time horizon for trades is 2 - 45 days. The strategy has been successfully backtested in version 0.2. Next step: forward test strategy to ensure that it works in practice. Test RL to see if we can can improve results (currently only ~ 5 % of max.)

Predictor that uses a configurable plugin-based predictive supervised learning model, to make forecasts for a configurable time horizon in a timeseries, using heterogeneus multivariate timeseries data as input, the input data needs to be aligned with the timeseries to be used as training signals. Includes 4 built-in deep-learning predictive models.