#计算机科学#59 篇深度学习论文的实现,并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠
#计算机科学#Machine learning, in numpy
翻译 - 机器学习,以数字表示
#自然语言处理#NLP 教程,使用Pytorch
该项目目标是实现一个既能让深度学习小白也能搞懂,又能服务科研和工业社区的代码库。从代码角度,让世界上没有难读的论文
#自然语言处理#A PyTorch implementation of the Transformer model in "Attention is All You Need".
翻译 - “注意就是您所需要的一切”中Transformer模型的PyTorch实现。
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
Transformer: PyTorch Implementation of "Attention Is All You Need"
#计算机科学#Scenic: A Jax Library for Computer Vision Research and Beyond
翻译 - Scenic:用于计算机视觉研究及其他领域的 Jax 库
#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。
#自然语言处理#Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
#自然语言处理#Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
翻译 - 这是YOLOv4,关注YOLOv4和带有PASCAL VOC和COCO的mobilenet YOLOv4的pytorch存储库
#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#Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Generative Adversarial Transformers
翻译 - 生成的对抗变压器
#人脸识别#Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
#计算机科学#Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
#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