## rmi

## TensorFlow-Examples

Our great sponsors

rmi | TensorFlow-Examples | |
---|---|---|

1 | 2 | |

52 | 42,961 | |

- | - | |

0.0 | 0.0 | |

over 2 years ago | 11 months ago | |

Jupyter Notebook | Jupyter Notebook | |

Apache License 2.0 | GNU General Public License v3.0 or later |

**mentions**indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.

**Stars**- the number of stars that a project has on GitHub.

**Growth**- month over month growth in stars.

**Activity**is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.

For example, an activity of

**9.0**indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

## rmi

**reviews of rmi**. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning rmi yet.

Tracking mentions began in Dec 2020.

## TensorFlow-Examples

**reviews of TensorFlow-Examples**. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning TensorFlow-Examples yet.

Tracking mentions began in Dec 2020.

## What are some alternatives?

**lego-mindstorms**
- My LEGO MINDSTORMS projects (using set 51515 electronics)

**graphkit-learn**
- A python package for graph kernels, graph edit distances, and graph pre-image problem.

**pyVHR**
- Python framework for Virtual Heart Rate

**ML-For-Beginners**
- 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

**Deep-Learning-With-TensorFlow-Blog-series**
- All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]

**TensorFlow-Tutorials**
- TensorFlow Tutorials with YouTube Videos

**Deep-Learning-Hardware-Benchmark**
- This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.

**TF_JAX_tutorials**
- All about the fundamental blocks of TF and JAX!

**google-research**
- Google Research

**Financial-Models-Numerical-Methods**
- Collection of notebooks about quantitative finance, with interactive python code.

**homemade-machine-learning**
- ðŸ¤– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

**models**
- A collection of pre-trained, state-of-the-art models in the ONNX format