TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks.
It is greatly used for Machine Learning Application, Developed in 2015 by the Google Brain Team and Written in Python and C++.
I will be introducing you to 15 opensource TensorFlow projects, you would like either as a Beginner in Machine Learning, an expert or a Python/C++ Developer, exploring new possibilities.
SenseNet is a sensorimotor and touch simulator to teach AIs how to interact with their environments via sensorimotor systems and touch neurons. SenseNet is meant as a research framework for machine learning researchers and theoretical computational neuroscientists.
A simple and well-designed structure is essential for any Deep Learning project, so after a lot of practice and contributing to TensorFlow projects.
Classify roads and features in satellite imagery, by training neural networks with OpenStreetMap (OSM) data.
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build complex AI models.
Tensorforce is an open-source deep reinforcement learning framework, with an emphasis on modularized flexible library design and straightforward usability for applications in research and practice.
TensorFlowOnSpark enables both distributed TensorFlow training and inferencing on Spark clusters, with a goal to minimize the number of code changes required to run existing TensorFlow programs on a shared grid.
TFNode.DataFeed
class.The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Search and filter videos based on objects that appear in them using convolutional neural networks
<files>
that match <query>
<file>
along with the number of times it appears.This project is based on the ideas in Facebook’s FastText but implemented in Tensorflow. However, it is not an exact replica of fastText.
Classification is done by embedding each word, taking the mean embedding over the full text and classifying that using a linear classifier.
High level network definitions with pre-trained weights in TensorFlow
tf.contrib.layers
, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and end-point.For Beginners in Deep Learning, Machine Learning and Artificial Intelligence using TensorFlow, Contributing to these open source projects or reading the codes can help you learn a lot.
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