https://github.com/yotam180/xai
xAI - A Research Project in the Field of Machine Learning (Magshimim 3rd year project)
https://github.com/yotam180/xai
artificial-intelligence cpp deep-learning machine-learning neural-network python tensorflow
Last synced: 2 months ago
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xAI - A Research Project in the Field of Machine Learning (Magshimim 3rd year project)
- Host: GitHub
- URL: https://github.com/yotam180/xai
- Owner: yotam180
- License: gpl-3.0
- Created: 2017-10-05T11:38:02.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2021-12-24T23:17:10.000Z (over 4 years ago)
- Last Synced: 2025-01-26T13:09:38.771Z (over 1 year ago)
- Topics: artificial-intelligence, cpp, deep-learning, machine-learning, neural-network, python, tensorflow
- Language: Python
- Homepage:
- Size: 217 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# xAI - A Research Project in the Field of Computer Vision & Machine Learning
[](https://ci.appveyor.com/project/yotam180/xai) [](https://bettercodehub.com/results/yotam180/xAI) [](https://codebeat.co/projects/github-com-yotam180-xai-master) [](https://www.codacy.com/app/yotam.salmon/xAI?utm_source=github.com&utm_medium=referral&utm_content=yotam180/xAI&utm_campaign=Badge_Grade)
## Do you watch us from GitLab™? #
We are **NOT** on GitLab! If you watch this repository through GitLab™, you are watching a live-synced repository. xAI is maintained through
GitHub™, and every commit on the GitHub™ repo is automatically mirrored here (Thanks to GitSync by Yotam Salmon). For our github repo, go to [https://github.com/yotam180/xAI](https://github.com/yotam180/xAI).
Please submit **PR**s and **issues** on our GitHub and not here (changes on our GitHub are mirrored here, but not in the other direction, so we just won't see them)
## CodeHound ##
This repository is being Auto-Secured and Unit-Tested by [](https://github.com/CodeHoundBot)™
## Our Team ##
### Shai Kimhi ###
>A B.Sc of Software Engineering student at Tehcnion-Israel Institute of Technology.
>Experimenting with Machine Learning and Computer Vision, other works include: Random dimensional reduction with Deep Learning over unstructured data,
>Lifting preprocessing for Linear Regression ML, Implementing Descent based optimization algorithms, RNN and Attention based methods for sentiment analysis,
>Distributed learning for DNNs and more..
### Yotam Salmon ###
>I'm a young software developer, love and live technology and computers. I am mainly experienced with C#, Python and Javascript for web development.
>I do web development with JS/HTML5/CSS3, jQuery and usually for server side - nodeJS, PHP or ASP.NET. I am also familiar with C/C++, Java based applications
>and Visual Basic, for macros, mainly. When really needed, I do x86 ASM too, but that's on very rare occasions.
>I contribute to open source projects and am very active in school projects too, like the Makers project or the Rogozin In Space repositories under
>@rogozin-high-school.
## Learning Materials ##
* [Neural Networks and Deep Learning .com](http://neuralnetworksanddeeplearning.com/chap1.html)
* [MNIST For ML Beginners](https://www.tensorflow.org/get_started/mnist/beginners)
* [TensorFlow learning materials](https://www.tensorflow.org/tutorials/)
* [Kaggle](https://www.kaggle.com/)
* [Coursera Machine Learning](https://www.coursera.org/learn/machine-learning)