guoxiang's starred repositories
AwesomeNLPBaseline
本项目是NLP领域一些任务的基准模型实现,包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。
tianchi-multi-task
NLP中文预训练模型泛化能力挑战赛(https://tianchi.aliyun.com/competition/entrance/531841/introduction?spm=5176.12281957.1004.2.7a883eafYhYhOq)
YouTube_Recommendations
YouTube推荐算法
chinese-chatbot-corpus
中文公开聊天语料库
AdamW_Keras
AdamW optimizer for Keras
bert4keras
keras implement of transformers for humans
LAMB_Optimizer_TF
LAMB Optimizer for Large Batch Training (TensorFlow version)
Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.
keras-mmoe
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Circle-Loss
Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels
Flat-Lattice-Transformer
code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
gradient-checkpointing
Make huge neural nets fit in memory
tf2-gradient-checkpointing
Simple gradient checkpointing for eager mode execution
bert_experimental
code and supplementary materials for a series of Medium articles about the BERT model
BERT_FEVER
BERT for Evidence Retrieval and Claim Verification
triplet-reid
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
tf_retrieval_baseline
A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
PolyEncoder
An unofficial implementation of Poly-encoder (Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring)
deep-recommender-system
深度学习在推荐系统中的应用及论文小结。
lite-transformer
[ICLR 2020] Lite Transformer with Long-Short Range Attention
TurboTransformers
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.