Visual analysis and diagnostic tools to facilitate machine learning model selection.

Non-parametric Entropy Estimation Toolbox

TensorFlow implementation of Conversation Models

Educational material on using the TensorFlow Estimator framework for text classification

使用BERT模型做文本分类；面向工业用途

Try to use tf.estimator and tf.data together to train a cnn model.

State estimation and filtering algorithms in Go

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

Attention is All You Need in Sonnet

Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Chatbot using Tensorflow (Model is seq2seq) Extend V2.0 ko

A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.

The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow

Sklearn Interface and Distributed Training for Flux.jl

Replication package for Bonhomme Lamadon and Manresa paper, A distributional framework for matched data

My code for crowd counting, CSRNet with Bayesian

A Deep Learning Approach to Ideal Binary Mask Estimation

An example of using a custom tensorflow core estimator with predictor for increased inference performance when using the tensorflow estimator high-level API.

python module for connectivity analysis

A medium's like reading time estimator with internationalization support

Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.

DFLsklearn is a software for the optimization of any given algorithm/method/estimator depending on hyperparameters. It is provided with an interface for automatically optimizing the hyperparameters of sklearn estimators. A detailed documentation page is available at http://mida.dima.unige.it/dflsklearn/

ROS package implementing folding assembly functionality for the SARAFun project.

An online machine-learning library for creating robust statistical models of streaming data

Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)

Some models implement with Tensorflow Estimator API

Entropy Partitioning to Measure Diversity

PyTorch implementation of 'GAN (Generative Adversarial Networks)'