Skip to content
View IsaacRodgz's full-sized avatar
🤗
🤗
17 followers · 27 following

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

Organizations

@somosnlp

Block or report IsaacRodgz

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
IsaacRodgz/README.md

Hello!

I'm Isaac Rodríguez, an ML/Software Engineer from Mexico. I currently work at a UK startup called Definely where I focus on NLP solutions for conversational chatbots with a heavy use of Transformer models and general MLOps and backend development for AI. On my free time I like contributing to open source communities. I've collaborated with Omdena Mexico Chapter in order to fight misinformation and Somos NLP, one of the largest communities of NLP in Spanish. Feel free to connect with me here:

Linkedin Badge Website

⚡ Technologies

Programming Languages

Python JavaScript Java Scala C++

Machine Learning

PyTorch TorchServe scikit-learn mlflow DVC NumPy Pandas

Software Development / Backend

MongoDB MySQL Docker Kubernetes FastAPI Flask Amazon AWS Google Cloud Git Postman

FrontEnd

React HTML5 CSS3

Stats

Github Stats Top Langs

Visitor Badge

Pinned Loading

  1. ConcatBERT ConcatBERT Public

    Baseline model for multimodal classification based on images and text. Text representation obtained from pretrained BERT base model and image representation obtained from VGG16 pretrained model.

    Jupyter Notebook 40 6

  2. multimodal-transformers-movies multimodal-transformers-movies Public

    Experiments with multimodal deep learning models based on transformers

    Jupyter Notebook 11 2

  3. GMU-Baseline GMU-Baseline Public

    Replication of models and results obtained in "Gated multimodal networks" paper

    Python 9

  4. Multimodal-Adapters Multimodal-Adapters Public

    Adapter modules with support for multimodal fusion of information (text, video, audio, etc.) using pre-trained BERT base model

    Jupyter Notebook 7 2