https://github.com/1587causalai/mindsearch
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
https://github.com/1587causalai/xtuner
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
https://github.com/1587causalai/ateam
A pyTorch Extension for Applied Mathematics
https://github.com/machbase/neo-engine
Go binding for Machbase time-series database core.
https://github.com/nixtla/datasetsforecast
Datasets for time series forecasting
https://github.com/dc-research/tempo
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
https://github.com/hbclab/restingstate
Scripts to preprocess resting state data and extract ROI-ROI correlations and voxel-wise ROI seedmaps
https://github.com/1587causalai/awesome-causality-algorithms
An index of algorithms for learning causality with data
https://github.com/fertiglab/j1798_trial_paper
scripts for the J1798 trial paper
https://github.com/1btu/pruned_lightweight_openpose
The pruned version of lightweight OpenPose.
https://github.com/dsnchz/solid-lightweight-charts
TradingView Lightweight Charts™ as SolidJS components
https://github.com/1oly/46600_aeroacoustics
Introduction to julia and AeroAcoustics.jl for the course https://kurser.dtu.dk/course/46600 at the Technical University of Denmark.
https://github.com/hbclab/jumpstartlearning
Various Resources if you want to learn/work on various projects in the Lab
https://github.com/equinor/timeseriesanalysis
Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in advanced analytics. Built on .NET to run anywhere.