#Awesome#An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
#大语言模型#The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
#计算机科学#Fast inference engine for Transformer models
Flops counter for convolutional networks in pytorch framework
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
翻译 - [preprint] "trans Gan: two transformers CANMAKE one strong Gan", Y I饭Jiang, shi与Chang, Zhang杨Wang
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
A curated list of foundation models for vision and language tasks
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
#大语言模型#LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
#计算机科学#💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-pro...
#计算机科学#How to use our public wav2vec2 dimensional emotion model
FlashAttention (Metal Port)
#计算机科学#Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Efficient Inference of Transformer models
The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"
#自然语言处理#Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBER...
MinT: Minimal Transformer Library and Tutorials
#计算机科学#Punctuation Restoration using Transformer Models for High-and Low-Resource Languages