Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

ProbTS is a benchmarking toolkit for time series forecasting.

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather,…

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Implementation of the paper: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.

Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

🦜🔗 Build context-aware reasoning applications

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

Must-read Papers on Large Language Model (LLM) Planning.

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

Reading list for research topics in multimodal machine learning

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

Awesome Papers About Performing Prompting On Graphs

A Library for Advanced Deep Time Series Models.

A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

A library for efficient similarity search and clustering of dense vectors.

Papers about graph transformers.

LLM papers I'm reading, mostly on inference and model compression

Aligning Large Language Models with Human: A Survey

Meta-Transformer for Unified Multimodal Learning

A curated list of foundation models for vision and language tasks

Multivariate Time-Series Anomaly Detection with GNN.

Train transformer language models with reinforcement learning.