TensorFlow
An open-source machine learning framework for everyone.
An open-source machine learning framework for everyone.
TensorFlow™ is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
2019 Program
Successful Projects
Contributor
Paul Pauls
Mentor
Rezsa Farahani
Organization
TensorFlow
Creating Neuroevolution Framework for Tensorflow 2.0, preimplementing 'Neuroevolution of Augmenting Topologies' (NEAT)
Implementing a framework for Neuroevolution in Tensorflow 2.0, providing a variety of preimplemented Neuroevolution algorithms, genomes and...
Contributor
snowkylin
Mentor
Tiezhen WANG
Organization
TensorFlow
An Extended Version of “A Concise Handbook of TensorFlow” And A Library of Extended Keras Layers for TF 2.0
Usability and 3rd cutting-edge models are two main factors that are especially concerned by academic area. This project concentrate on enhancing both...
Contributor
whiterat
Mentor
Frank Chen, perfinion, Sean Morgan, Yanhui Liang
Organization
TensorFlow
Adding and standardizing image processing operations in tf.image
Project aims at updating existing functions to make them compatible with Tensorflow 2.0 and adding new image processing operations to make the...
Contributor
Adrish Dey
Mentor
Vojtech Bardiovsky, Sachin Joglekar
Organization
TensorFlow
TensorFlow Hub Module Creation and Support for TensorFlow.js
Training of High end Deep Learning Models takes a Long time to Train, Hours, Days and Even Weeks. So, as a Developer/researchers it slows down the...
Contributor
Recep Ahmet SARITEKIN
Mentor
Etienne POT, Marcin Michalski
Organization
TensorFlow
TensorFlow Datasets - Implement new features in TFDS for users and developers
Main goal of this project is extending available datasets, offering some additional features to Tensorflow Datasets that can make TensorFlow users'...
Contributor
Param Bhavsar
Mentor
Dan Zheng, Richard Wei
Organization
TensorFlow
Add traditional machine learning algorithms to the Swift TensorFlow library
This document describes the proposal to "add traditional Machine Learning algorithms to the Swift TensorFlow library", for "TensorFlow" organization....
Contributor
Chanchal Kumar Maji
Mentor
Vikram Tiwari, Marcin Michalski
Organization
TensorFlow
Improving and adding more functionality to the TensorFlow-Datasets library with the addition of DatasetBuilders for important research datasets.
Tensorflow Datasets or tfds makes the work of the user easier by transforming the raw dataset into a standard format so that it can be immediately...
Contributor
Sasha Illarionov
Mentor
Manraj Singh
Organization
TensorFlow
Reasonable Effectiveness of Mobile Inference: Adaptive Growth of the TensorFlow.js Model Garden
The project aims to grow the TensorFlow.js model garden with five new low-latency, low-power, high-accuracy applications controlled via an...