微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Official repo for IRL-VLA

Code for "WebVoyager: WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models"

Code acompaning the paper titled "Mamba time series forecasting with uncertainty quantification"

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Supplement of Copilot and Cursor - utilizes AI for batch processing of the entire codebase (对Copilot和Cursor们的补充：用 AI 批量处理项目代码)

An Open-Ended Embodied Agent with Large Language Models

Bridging LLM and Recommender System.

About Code Release for "On the Embedding Collapse When Scaling Up Recommendation Models" (ICML 2024)

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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

Integration example for other runtime systems using the PLCnext ANSI C interface

A batteries included PLC runtime for Embedded Linux

Runtime for the application SimplePLCPanel

软PLC示例代码，包括windows上位机、windows runtime、stm32 runtime

LLM training in simple, raw C/CUDA

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

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

The official Meta Llama 3 GitHub site

[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"

[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"