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Implementing the 4 agentic patterns from scratch
李白 👤 作为唐代杰出诗人,其诗歌作品在中国文学史上具有重要地位。近年来,随着数字技术和人工智能的快速发展,传统文化普及推广的形式也面临着创新与变革。国内外对于李白诗歌的研究虽已相当深入,但在数字化、智能化普及方面仍存在不足。因此,本项目旨在通过构建李白知识图谱,结合大模型训练出专业的AI智能体,以生成式对话应用的形式,推动李白文化的普及与推广。
第一个支持中英文双语语音-文本多模态对话的开源可商用对话模型。便捷的语音输入将大幅改善以文本为输入的大模型的使用体验,同时避免了基于 ASR 解决方案的繁琐流程以及可能引入的错误。
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
Daily updated LLM papers. 每日更新 LLM 相关的论文,欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing
Official code for "Tiny Object Detection in Aerial Images".
Official github page of UCF SST CitySim Dataset
The official code of "Rethinking Local Perception in Lightweight Vision Transformer"
Repository for "Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision", CVPR, 2023
official code for ISFormer: A Simple Transformer for Infrared Small Target Detection
Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)
Official PyTorch implementation of the paper entitled 'Local Patch Network with Global Attention for Infrared Small Target Detection'.
(TGRS 2022) Paper: Interior Attention-Aware Network for Infrared Small Target Detection
SANET: Spatial Attention Network With Global Average Contrast Learning For Infrared Small Target Detection
A Robust Infrared Small Target Detection Method Jointing Multiple Information and Noise Prediction: Algorithm and Benchmark
ABC: Attention with Bilinear Correlation for Infrared Small Target Detection
dlut-dimt / TarDAL
Forked from JinyuanLiu-CV/TarDALCVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
The implementation for "Cluster-memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection"
CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction (Pattern Recognition 2024)
CAFF-Net method and the NCHU-SIRST dataset
code and trained models for "Asymmetric Contextual Modulation for Infrared Small Target Detection"
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection