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Learning Large Language Model (LLM）(大语言模型学习)
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NuwaTS: a Foundation Model Mending Every Incomplete Time Series
PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [oral])
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
The collection of resources about LLM for Time series tasks
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
LangChain 的中文入门教程
Image Captioning Vision Transformers (ViTs) are transformer models that generate descriptive captions for images by combining the power of Transformers and computer vision. It leverages state-of-th…
Transformer-based image captioning extension for pytorch/fairseq
Tensorflow/Keras implementation of an image captioning neural network, using CNN and RNN
Image Captioning using CNN+RNN Encoder-Decoder Architecture in PyTorch
Model architecture: CNN encoder and RNN decoder
Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models (CVPR 2024 Highlight)
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
综合型hexo主题：博客+知识库+专栏+笔记，内置海量的标签组件和动态数据组件。
Implementation of Vision Transformer from scratch and performance compared to standard CNNs (ResNets) and pre-trained ViT on CIFAR10 and CIFAR100.
Using mmflow as a third party lib to run evaluation.