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
#大语言模型#RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN a...
#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 collection of important graph embedding, classification and representation learning papers with implementations.
翻译 - 一系列重要的图形嵌入,分类和表示学习论文以及实现。
#大语言模型#The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
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
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
#新手入门#Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
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#Keras Attention Layer (Luong and Bahdanau scores).
#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#Multilingual Automatic Speech Recognition with word-level timestamps and confidence
#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
#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 SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch