FeiGSSS

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

dspy

DSPy: The framework for programming—not prompting—foundation models

sentence-transformers

State-of-the-Art Text Embeddings

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

gpt-computer-assistant

Intelligence development framework in python for your product like Apple Intelligence

gluonts

Probabilistic time series modeling in Python

BlenderGPT

Use commands in English to control Blender with OpenAI's GPT-4

KnowledgeGraphCourse

东南大学《知识图谱》研究生课程

rag-from-scratch

spreadsheet-is-all-you-need

A nanoGPT pipeline packed in a spreadsheet

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

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".

Awesome-LLM-RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

IguanaTex

A PowerPoint add-in allowing you to insert LaTeX equations into PowerPoint presentations on Windows and Mac

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Awesome-Language-Model-on-Graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey"

AGI-survey

awesome-llm-time-series

tracking papers, datasets, and models of "large language model (LLM) for time series"

LM4VisualEncoding

[ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"

GNN-RAG

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

VAE_anomaly_detection

FreTS

Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"

EasyTSAD

A framework for easy running and evaluating your TSAD algorithm.

CoBFormer

Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"

TimeMIL

The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning

microservice_system_twin_graph_based_anomaly_detection

QuoVadisTAD

Time Series Anomaly Detection

twosetai

All the code and materials related to our YouTube channel (TwoSetAI)

SocioDojo

AnoFusion