Research scientist at ByteDance Seed. AGI & AI for Science
REDER. [NeurIPS 2021] Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
15MGNMT. Python
15past-and-future-nmt. Implementation of "Modeling Past and Future for Neural Machine Translation"
15dynamic-nmt. Pytorch implementation of EMNLP'19 paper "Dynamic past and future for neural machine translation"
6DeepLearning-500-questions. 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
2OpenNMT-py. Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
1CodeInterview.
1tensorflow-1. 图解tensorflow 源码
1libpku. 北京大学课程资料整理
1Seq2Seq-PyTorch. Sequence to Sequence Models with PyTorch
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