Neuraxle-TensorFlow

ML builder

Provides utility functions and abstractions for building machine learning models using TensorFlow

TensorFlow steps, savers, and utilities for Neuraxle.

GitHub

4 stars
5 watching
2 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
tensorflow/tfx An end-to-end platform for building and deploying machine learning pipelines in production environments. 2,114
neuraxio/neuraxle A machine learning pipeline library that enables the creation of modular and reusable data processing workflows 608
tensorflow/tensorflow An end-to-end platform for building and deploying machine learning applications 186,484
tensorflow/tfjs An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. 18,506
minyus/pipelinex A Python package to build and experiment with machine learning pipelines using Kedro, MLflow, and other tools 224
itdxer/neupy A Python library for prototyping and building neural networks using TensorFlow as a backend 741
tensorflow/haskell Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language. 1,582
tensorflow/lattice A library for creating constraint-based interpolation models in TensorFlow 518
somaticio/tensorflow.rb An API for utilizing the TensorFlow machine learning framework in Ruby 829
eaplatanios/tensorflow_scala A Scala API for TensorFlow's deep learning functionality 939
tensorflow/text Preprocessing and processing tools for text data in machine learning models 1,233
tensorflow/tfjs-models A collection of pre-trained machine learning models for use in web applications. 14,123
anshuman23/tensorflex A C API implementation of Tensorflex, providing bindings to the TensorFlow machine learning framework. 308
tensorflow/model-analysis Evaluates and visualizes the performance of machine learning models. 1,258
neuraxio/kata-clean-machine-learning-from-dirty-code Converting dirty machine learning code into clean, modular, and reusable components using the Pipe and Filter Design Pattern for Machine Learning. 18