Skip to content
View guillaume-chevalier's full-sized avatar
💯
Innovating
💯
Innovating

Organizations

@Neuraxio @dot-layer

Block or report guillaume-chevalier

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

Hi there 👋 I'm Guillaume Chevalier.

I'm an enthusiastic, audacious and innovative AI Expert with over 11 years of experience in AI, specializing in NLP, Generative AI, and Deep Learning. It was also a decade ago that I committed to specializing in AI from that moment onward. Combining analytical rigor with a creative and open-minded approach, I thrive on exploring new ideas and fostering meaningful connections to drive technological advancements.

  • Founded Neuraxio Inc., delivered cutting-edge machine learning services to numerous companies by leveraging expansive creativity and collaborative innovation.
  • Authored open-source projects with over 8000 stars on GitHub and publications with more than 560 citations on Google Scholar, I love contributing to the AI community and promoting AI knowledge and AI adoption, while constantly pushing the frontiers of innovation.
  • Consistently recognized as a high achiever in R&D projects, coding competitions and hackathons, harnessing curiosity and intellectual flexibility to deliver impactful AI solutions and advance the field.

Passionate about aligning my work with core values, I believe in making a positive impact through technology and collaboration. Known for my vibrant energy and diplomatic leadership style, I am dedicated to building strong professional relationships & projects, loving to contribute meaningfully to my field.

Connect with me on LinkedIn: https://ca.linkedin.com/in/chevalierg

Pinned Loading

  1. LSTM-Human-Activity-Recognition LSTM-Human-Activity-Recognition Public

    Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

    Jupyter Notebook 3.4k 939

  2. Awesome-Deep-Learning-Resources Awesome-Deep-Learning-Resources Public

    Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

    1.7k 292

  3. seq2seq-signal-prediction seq2seq-signal-prediction Public

    Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

    Jupyter Notebook 1.1k 293

  4. Neuraxio/Neuraxle Neuraxio/Neuraxle Public

    The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter …

    Python 612 62

  5. How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks Public

    Growing the code out of your notebooks - the right way.

    528 31

  6. HAR-stacked-residual-bidir-LSTMs HAR-stacked-residual-bidir-LSTMs Public

    Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 diffe…

    Python 318 99