CLNET-pixel's Stars
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
CLNET-pixel/MSCRED_torch
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
albertwujj/MSCRED
Concise, modular implementation of Multi-Scale Convolutional Recurrent Encoder Decoder: https://arxiv.org/abs/1811.08055
7fantasysz/MSCRED
Multi-Scale Convolutional Recurrent Encoder-Decoder
WenDesi/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍