hongbinye

vanna

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

QAnything

Question and Answer based on Anything.

Time-Series-Library

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

pytorch-forecasting

Time series forecasting with PyTorch

AutoPrompt

A framework for prompt tuning using Intent-based Prompt Calibration

RAG-Survey

RAG-Survey

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

AgentTuning

AgentTuning: Enabling Generalized Agent Abilities for LLMs

KnowledgeEditingPapers

Must-read Papers on Knowledge Editing for Large Language Models.

mvts_transformer

Multivariate Time Series Transformer, public version

multivariate-time-series-data

ChatIE

The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)

SCINet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

AutoKG

[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

KG-MM-Survey

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

LangChainStudy

这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。

MathVista

MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts

ChatKBQA

[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models".

liteio

LiteIO is a cloud-native block device service that uses multiple storage engines, including SPDK and LVM, to achieve high performance. It is specifically designed for Kubernetes in a hyper-converged architecture, allowing for block device provisioning across the entire cluster.

pytorch-transformer-ts

Repository of Transformer based PyTorch Time Series Models

KoPA

[Paper][ACM MM 2024] Making Large Language Models Perform Better in Knowledge Graph Completion

KnowPAT

[Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

MachineSoM

[ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

ConvLSTM-Pytorch

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

FreeAL

[EMNLP 2023] FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models

BuildingsBench

Large-scale pretraining and benchmarking for short-term load forecasting.

byokg

Zero-shot KGQA method based on curiosity-driven graph exploration. Agarwal et al., "Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA", NAACL 2024.

TimeTuner

hydra_tutorial