TensorFlow is a ML framework for everyone.
Paul Spende
This project will convert some pre-trained Keras models into TensorFlow js models and explains how they can be made accessible by packing them in npm...
Paul Pauls
Implementing a framework for Neuroevolution in Tensorflow 2.0, providing a variety of preimplemented Neuroevolution algorithms, genomes and...
snowkylin
Usability and 3rd cutting-edge models are two main factors that are especially concerned by academic area. This project concentrate on enhancing both...
Victor Antony
This project aims to add traditional machine learning algorithms to the Tensorflow for Swift library. We aim to implement Logistic Regression,...
whiterat
Project aims at updating existing functions to make them compatible with Tensorflow 2.0 and adding new image processing operations to make the...
Bruna Pinos
TensorBoard is a TensorFlow tool for models visualization. It can generate histograms, graph and help debug and improve the neural network. To help...
Adrish Dey
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...
Recep Ahmet SARITEKIN
Main goal of this project is extending available datasets, offering some additional features to Tensorflow Datasets that can make TensorFlow users'...
Param Bhavsar
This document describes the proposal to "add traditional Machine Learning algorithms to the Swift TensorFlow library", for "TensorFlow" organization....
Wenhe Li
The TensorFlow.js will be highly computational consuming while we are doing prediction or classification. And if such a computation happens at the UI...
Jiacheng Xu
TensorFlow is one of the most popular machine learning frameworks and is widely used in fields beyond machine learning and data science. The...
Ayush Agrawal
Deploying a machine learning module using Swift for Tensorflow it to a mobile device, including building out necessary components of the Swift for...
Vishal V
Re-building the official Tensorflow models to make it TF 2.0 compatible. This project proposes holistic improvements to the models repository to...
Chanchal Kumar Maji
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...
Sasha Illarionov
The project aims to grow the TensorFlow.js model garden with five new low-latency, low-power, high-accuracy applications controlled via an...
Ryan Lee
Reinforcement learning is a class of machine learning methods that use the reward signal of the environment to infer optimal actions. Thus, easy...
Karthik Ramesh Iyer
Swift for TensorFlow is a Swift library that helps develop and train ML models. Data Visualization can be helpful when exploring a dataset. It helps...
Tasmiah Tahsin Mayeesha
Project's main goal is adding new techniques and tools for text embedding modules in TensorFlow Hub.It is divided into three parts: Improve the...
ace
Migration of official TensorFlow models to use/support TF v2.0 features/functions.