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，50余万字。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[email protected] 版权所有，违权必究 Tan 2018.06

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Code for "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021.

Tracking the progress in SLU (resources, code, and new frontiers etc.)

EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

[AAAI 2019] Code for paper "A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues"

Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

LSTM+CRF NER

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Implementing Siamese Network using Tensorflow with MNIST