深度学习 51
- NID任务思考
- Denoising Diffusion Probabilistic Models
- GLM：General Language Model Pretraining with Autoregressive Blank Infilling
- 图像生成：GAN、AE、VAE、DALL-E2、Stable Diffusion
- 基于WiFi CSI数据检测人体活动
- Human Activity Recognition based on Wi-Fi CSI Data-A Deep Neural Network Approach
- LLM评估概述
- Video Graph Transformer for Video Question AnsweringLarge Language Models
- MiniGPT-4：Enhancing Vision-Language Understanding with Advanced Large Language Models
- Improving Language Understanding by Generative Pre-Training
- LangChain 🦜️🔗 与 知识库问答实践
- LangChain 🦜️🔗 与知识增强生成
- LangChain 🦜️🔗 基础概念与实战
- 训练 MSVQA 与分析
- Adversarial Incomplete Multi-view Clustering
- VIGAN：Missing View Imputation with Generative Adversarial Networks
- JSAI Competition2023-sophgo
- 训练狗狗🐕捡起我们扔的棍子
- 训练探测器正确降落在月球🌕上
- 强化学习介绍
- LLM有监督微调概述
- LLM分布式训练概述
- HuggingFace 🤗 工具集快速使用入门&中文任务示例
- 训练 DualVGR
- LLM概述
- 基于知识蒸馏的视频问答模型
- 知识蒸馏简要介绍
- DualVGR： A Dual-Visual Graph Reasoning Unit
- Graph Attention Networks
- RNN与NLP基础
- Generative Adversarial Nets
- GloVe：Global Vectors for Word Representation
- Pytorch框架RNN快速入门与实战
- Semi-Supervised Classification With Graph Convolutional Networks
- A Gentle Introduction to Graph Neural Networks
- Aggregated Residual Transformations for Deep Neural Networks
- Deep Residual Learning for Image Recognition
- Learning Transferable Visual Models From Natural Language Supervision
- 基于EHR数据集的深度学习模型思考
- How to Leverage Multimodal EHR Data for Better Medical Predictions?
- Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
- Sentence-BERT： Sentence Embeddings using Siamese BERT-Networks
- Siamese Network & Triplet NetWork
- BERT： Pre-training of Deep Bidirectional Transformers for Language Understanding
- 从人工智能基础课到真正的“人工智能基础”
- An Image Is Worth 16x16 Words： Transformers For Image Recognition At Scale
- Attention Is All You Need
- Multitask learning and benchmarking with clinical time series data
- TensorBoard简单使用
- 神经网络训练可视化
- PyTorch实战第一课：训练三阶多项式