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💯
Innovating
💯
Innovating
1.1k followers · 210 following

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2Achievement: Starstruckx3

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2Achievement: Starstruckx3

Highlights

Organizations

@Neuraxio @dot-layer

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guillaume-chevalier/README.md

Hi there 👋 I'm Guillaume Chevalier.

With more than 10 years of coding experience, having worked for more than 30 companies, and speaking at more than 30 tech conferences and tech events, my profile is atypical in the sense that I am extroverted and that I like interacting with people. I had already worked with more than 10 programming languages before starting my software engineering bachelor, as I have always worked in the software industry from the moment I finished secondary school (a.k.a. high school).

Being the founder of my own company for more than 4 years now, and having offered machine learning software services to more than 15 companies and training to an additional 10 companies in this time frame, I understand how to conclude business deals, manage open-source code, licensing, and royalties, as well as wearing every hats. I programmed half of my time in these past 4 years, while the other half was being an entrepreneur.

In the end, I remain a technical professional who excels at writing clean code, ensuring software quality in teams, and guiding others. I prefer leading positions than management positions. Being the main author of various open-source projects that have more than 7800 stars in total, I love contributing to open-source projects.

To wrap it up, I am an extroverted coder who have experienced variety and who likes to interact with people.

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

Recent blog posts

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  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 938

  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 608 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.

    526 30

  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 319 100