estimator

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

TensorFlow implementation of Conversation Models

Educational material on using the TensorFlow Estimator framework for text classification

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

The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow

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

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

JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

Sklearn Interface and Distributed Training for Flux.jl

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

A Deep Learning Approach to Ideal Binary Mask Estimation

A medium's like reading time estimator with internationalization support

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

Simple python package for creating predictive models

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

PyTorch implementation of 'GAN (Generative Adversarial Networks)'

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

Reading time helps to estimate how long an article will take to read

PHP Cost Estimator Form Builder for your website. See more at https://softdiscover.github.io/ZigaForm-PHP-Cost-Estimator-Lite/