Skip to content
@sicara

Sicara

Pinned Loading

  1. tf-explain Public

    Interpretability Methods for tf.keras models with Tensorflow 2.x

    Python 1k 110

  2. sicarator Public

    Instant Setup & Best Quality for Data Projects!

    JavaScript 176 9

  3. easy-few-shot-learning Public

    Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

    Python 1.2k 156

  4. gpumonitor Public

    TF 2.x and PyTorch Lightning Callbacks for GPU monitoring

    Python 92 7

  5. tf2-evonorm Public

    TensorFlow 2.0 implementation of Evonorm

    Python 9 2

Repositories

Showing 10 of 38 repositories
  • sicarator Public

    Instant Setup & Best Quality for Data Projects!

    JavaScript 176 Apache-2.0 9 9 4 Updated Jan 30, 2025
  • cours_dq Public
    0 1 0 0 Updated Dec 13, 2024
  • easy-few-shot-learning Public

    Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

    Python 1,155 MIT 156 18 0 Updated Nov 13, 2024
  • tf-explain Public

    Interpretability Methods for tf.keras models with Tensorflow 2.x

    Python 1,024 MIT 110 42 5 Updated Jun 3, 2024
  • rag-initiator Public

    Repo used to mob to learn how to rag

    Makefile 1 0 0 0 Updated May 29, 2024
  • tf2-yolov4 Public

    A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

    Python 207 MIT 51 18 6 Updated Mar 20, 2024
  • td-mlops Public

    TD d'initiation au tracking d'expériences, model registry et model serving avec MLFlow et FastAPI

    Python 0 Apache-2.0 0 0 0 Updated Jan 25, 2024
  • dvc-streamlit-example Public

    Dvc + Streamlit = ❤️

    HTML 40 MIT 8 0 1 Updated Oct 27, 2023
  • few-shot-style-transfer Public
    Jupyter Notebook 1 MIT 0 0 1 Updated Feb 24, 2023
  • Keras-FewShotLearning Public Forked from ClementWalter/Keras-FewShotLearning

    Some State-of-the-Art few shot learning algorithms in tensorflow 2

    Python 3 42 0 0 Updated Feb 7, 2023
View all repositories