kiminh Goto Github PK

to_distill_or_not

model compression using bert and knowledge distillation

towards-a-deep-and-unified-understanding-of-deep-neural-models-in-nlp

Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP

tplinker-joint-extraction

tql-python

思维误区: 用理想模型来思考复杂现实问题

tr

Free Offline OCR 离线的中文文本检测+识别SDK

transdim

Machine learning for transportation data imputation and prediction.

transfer-learning-library

Transfer-Learning-Library

transfercox

Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

transformer-based-pretrained-model-for-event-extraction

使用基于Transformer的预训练模型在ACE2005数据集上进行事件抽取任务

transformer-clinic

Understanding the Difficulty of Training Transformers

transformer-encoder-with-char

Transformer Encoder with Char information for text classification

transformer-hawkes-process

Code for Transformer Hawkes Process, ICML 2020.

transformer-kernel-ranking

TK & TKL - Efficient Transformer-based neural re-ranking models

transformer-pointer-generator

Transformer with pointer generator for machine translation

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transformer_rankers

A library to conduct ranking experiments with transformers.

transformers-ner

Pytorch-Named-Entity-Recognition-with-transformers

transformersdataaugmentation

transport

A framework for writing performant user-defined functions (UDFs) that are portable across a variety of engines including Apache Spark, Apache Hive, and Presto.

trap

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data

travelgan

trax

Trax — your path to advanced deep learning

treatment-learn

trec_background_linking

IR-BERT at TREC 2020: Leveraging BERT for Semantic Search in Background Linking

tree-based-deep-model

it's the realization of Tree-based Deep Model with tensorflow

tree_deep_model

Deep neural network model based on the tree

treeagent-py

Tree-based RL in Python

treeexplainer-study

Code and documentation for experiments in the TreeExplainer paper

trfl

TensorFlow Reinforcement Learning