Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
翻译 - 在Pytorch中实现视觉变压器,这是仅使用一个变压器编码器即可在视觉分类中实现SOTA的简单方法
#计算机科学#RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, sa...
#自然语言处理#all kinds of text classification models and more with deep learning
翻译 - 各种文本分类模型以及更多深度学习
#计算机科学#Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
翻译 - 在Pytorch中实现/复制OpenAI,OpenAI的文本到图像转换器
#计算机科学#A concise but complete full-attention transformer with a set of promising experimental features from various papers
翻译 - 来自各种论文的简单但完整的全关注变压器,具有一系列令人鼓舞的实验功能
#Awesome#An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A TensorFlow Implementation of the Transformer: Attention Is All You Need
翻译 - 变压器的TensorFlow实现:注意就是您所需要的
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
翻译 - 显示,参加和讲述|PyTorch图像字幕教程
#计算机科学#My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy...
翻译 - 我对原始GAT论文的执行(Veličković等)。Jupyter Notebook即将面世,也是一个归纳示例。另外,我还包括了用来查看Cora数据集,GAT嵌入和注意力机制的Playground.py文件。
#计算机科学#Reformer, the efficient Transformer, in Pytorch
翻译 - 重整器,高效的变压器,在火炬
#大语言模型#The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community: https://discord.com/servers/agora-999382051935506503
#计算机科学#To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
翻译 - To eventually become a Pytorch implementation of Alphafold2, as details of the architecture get released
#计算机科学#Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
翻译 - LambdaNetworks的实现,这是一种新的图像识别方法,可以用更少的计算量达到SOTA
#计算机科学#Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
#计算机科学#An implementation of Performer, a linear attention-based transformer, in Pytorch
翻译 - Pytorch中Performer(基于线性注意的转换器)的实现
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pret...
翻译 - 我对原始变压器模型的实现(Vaswani等)。另外,我还包括了parker.py文件,用于可视化本来似乎很难的概念。当前包括IWSLT预训练模型。
#计算机科学#Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways
#计算机科学#Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
#计算机科学#Implementation of Bottleneck Transformer in Pytorch
翻译 - Pytorch中瓶颈变压器的实现
MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition
翻译 - MORAN:用于场景文本识别的多对象整流注意力网络