Name: Arturo Devesa
Type: User
Company: https://artdevesa7.github.io/Arturo-Personal-Web/
Bio: AI/ML, Deep Learning, Transformers, Python, C/C++, Java, JavaScript, Linux, chatbots, NLP, search engines, bioinformatics, Algorithmic stock trading
Twitter: arturodevesa
Location: New York City, NYC
Blog: www.arturodevesa.com
Arturo Devesa's Projects
custom human activity recognition modules by pose estimation and cascaded inference using sklearn API
Udacity - AI for Trading Nanodegree - Term 2 - Project 5: NLP on Financial Statements
Udacity - AI for Trading Nanodegree - Term 2 - Project 6: Sentiment Analysis with Neural Networks
Interactive Broker API
Algorithmic Trading Scripts in Python
Created a rules-based Python Chatbot with regex
A python wrapper for Alpha Vantage API for financial data.
I created a chatbot in Python that greets the user by their name, and repeats whatever the user says.
a simple GUI counter program, as illustrated. It has a top-level container Frame, which contains three components - a Label "Counter", a non-editable TextField to display the current count, and a "Count" Button. The TextField shall display count of 0 initially. Each time you click the button, the counter's value increases by 1.
Pre-trained Language Model for Biomedical Question Answering
Ready to use BioBert pytorch weights for HuggingFace pytorch BertModel :relieved:
PyTorch Implementation of BioBERT
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
I use the Bottle python module to create a simple and fast one page webpage
Udacity - AI in Trading Project II
I made a calculator using the algorithm in the back-end using express.js and sending the calculation result to the client in the front-end
tweet length
I built a Chatbot that orders coffee from a customers
Comparing two strings in python
I allocated memory dynamically on the heap using 'new' with C++
I made my first express.js server, hiding in the back-end my business logic and sending it to the client in the front-end
A collection of useful .gitignore templates
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ib-controller/ib-controller/releases/latest
Python API for the Interactive Brokers on-line trading system.
Looping through a Java Array