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Guangzhou University
- GuangZhou
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10:29
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制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Official inference repo for FLUX.1 models
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
A modular graph-based Retrieval-Augmented Generation (RAG) system
《大模型白盒子构建指南》:一个全手搓的Tiny-Universe
🚀 阿里通义千问2.5大模型逆向API【特长:六边形战士】,支持高速流式输出、无水印AI绘图、长文档解读、图像解析、联网检索、多轮对话,零配置部署,多路token支持,自动清理会话痕迹,仅供测试,如需商用请前往官方开放平台。
AM (Advanced Mathematics) Chat is a large language model that integrates advanced mathematical knowledge, exercises in higher mathematics, and their solutions. AM (Advanced Mathematics) chat 高等数学大模…
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。
This is a repository for collecting papers and code in time series domain.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Visualizer for neural network, deep learning and machine learning models
A Library for Advanced Deep Time Series Models.
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
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch
中文nlp解决方案(大模型、数据、模型、训练、推理)
A python script that allows your terminal to snow.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
KDD Cup 2022 Baidu Wind Power Forecast项目:百度风电功率预测赛 (Paddle Track 5th)
Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person
Spatiotemporal graph convolutional network for wind speed prediction.