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This project forked from tchapi/markdown-cheatsheet
Markdown Cheatsheet for Github Readme.md
License: MIT License
markdown-cheatsheet's Introduction
My website: ![Website](https://camo.githubusercontent.com/8567d831196c2d350790bfc6836e8a941c61a3fbf739e1c70596098c789baacd/68747470733a2f2f696d672e736869656c64732e696f2f776562736974653f6c6162656c3d616c656a616e64726f64732675726c3d6874747073253341253246253246616c656a616e64726f64732e6769746875622e696f253246)
I'm a Machine Learning Engineer, Aeronautical Engineer, Teacher and Climber!
- π Machine Learning Engineer holding a Master's degree by the University of Sydney.
- π Iβm taking a course of Redis
- β Iβm looking to write more articles on Medium
- β‘ Fun fact: I love to climb and travel and I'm currently living in Australia βοΈ
![Python](https://user-images.githubusercontent.com/32141606/91632600-49bc7b00-ea25-11ea-8857-d9b40a35f85a.png)
![Keras](https://user-images.githubusercontent.com/32141606/91632734-2a721d80-ea26-11ea-9e84-557510df54d6.png)
![TensorFlow](https://user-images.githubusercontent.com/32141606/91632806-a9ffec80-ea26-11ea-9bf6-97376c7925b6.png)
![PyTorch](https://user-images.githubusercontent.com/32141606/91633307-89399600-ea2a-11ea-8ba4-ae08348eded0.png)
![GoogleCloud](https://user-images.githubusercontent.com/32141606/91632835-f0554b80-ea26-11ea-83c2-d69774c71c33.jpg)
![AWS](https://user-images.githubusercontent.com/32141606/91634183-cfdebe80-ea31-11ea-92e4-a1d28d2c68df.png)
![SQL](https://user-images.githubusercontent.com/32141606/91632897-707bb100-ea27-11ea-8b9e-24abeabc3dee.png)
![Cpp](https://user-images.githubusercontent.com/32141606/91632638-8b4d2600-ea25-11ea-82f6-5746c35c1b1e.png)
![HTML5](https://user-images.githubusercontent.com/32141606/91632852-1975dc00-ea27-11ea-928e-c560f24722f7.png)
![javascript](https://user-images.githubusercontent.com/32141606/91632712-fa2a7f00-ea25-11ea-84a9-dcc8daa71c6b.png)
![matlab](https://user-images.githubusercontent.com/32141606/91632663-b33c8980-ea25-11ea-8689-1074ab165be9.png)
![git](https://user-images.githubusercontent.com/32141606/91632917-999c4180-ea27-11ea-9603-50f3f69f07b4.png)
- Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Re-weighting and T-revision - Code! π»
- Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm - Code! π»
- Generating cover letters with the GPT-2 model - Deployed on Google Cloud - Try it here! πΉοΈ
- Named Entity Recognition in travel-related documents using RNN - Deployed on Google Cloud - Try it here! βοΈ
- Call Center to analyze automatically if a person can be infected with Coronavirus - AWS Connect + AWS Lex Bot - Call me! - +61 2 8311 7630 π
- Service for generating text with the GPT-2 model - Deployed on Google Cloud - Try it here! π¨οΈ
- Alexa Skill using Lambda Functions and Web Scraping - Try it here! π€
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