Visual analysis and diagnostic tools to facilitate machine learning model selection.
Non-parametric Entropy Estimation Toolbox
使用BERT模型做文本分类；面向工业用途
Educational material on using the TensorFlow Estimator framework for text classification
This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
TensorFlow implementation of Conversation Models
Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.
Try to use tf.estimator and tf.data together to train a cnn model.
The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow
A medium's like reading time estimator with internationalization support
Attention is All You Need in Sonnet
Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"
Replication package for Bonhomme Lamadon and Manresa paper, A distributional framework for matched data
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
Chatbot using Tensorflow (Model is seq2seq) Extend V2.0 ko
State estimation and filtering algorithms in Go
Mutual information estimators and benchmark
Entropy Partitioning to Measure Diversity
A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.
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