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Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
DuckDB is an analytical in-process SQL database management system
This package is a one-stop solution for downloading, cleaning, analyzing street view imagery
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Applying SQN to classify airborne LiDAR point clouds
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Uplift modeling and causal inference with machine learning algorithms
Spatial Data Analysis with High Performance Computing (HPC)
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This repository deposits all the data and code used for our research paper: 'The price premium of residential energy performance certificates: A scoping review of the European literature'.
Models of deprivation sub-domains for the IDEAMAPS data ecosystem project. This repo contains the source code used to run models and the model outputs. It also contains logic to upload model output…
Large-scale 3D building model datasets constructed from airborne LiDAR point clouds for Glasgow City, UK
A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"