Pinned

1. CLIP_Finetuning CLIP_Finetuning Public

   This project fine-tunes the CLIP model using pairs of images from CIFAR-10 to enhance its ability to distinguish between similar and dissimilar images.

   Jupyter Notebook

2. K-Diffusion_with_Transformer_Encoder K-Diffusion_with_Transformer_Encoder Public

   This notebook investigates the use of transformer encoders for predicting noise added to a vector or matrix. The goal is to train a model that can effectively capture the underlying noise patterns …

   Jupyter Notebook

3. Segmenation_of_nerf_optic_sheath Segmenation_of_nerf_optic_sheath Public

   This project focused on ultrasound image segmentation of the optic nerve sheath for measuring its diameter.

   Jupyter Notebook 3

4. Anomaly-Detection Anomaly-Detection Public

   Anomaly Detetction using Local Outlier Factor, Autoencoder and integration

   Jupyter Notebook 3

5. Cross-sectional-equity-returns-prediction-with-machine-learning Cross-sectional-equity-returns-prediction-with-machine-learning Public

   This project replicates and evaluates machine learning models for asset pricing and portfolio construction, assessing their predictive capabilities, feature importance, and impact on returns

   Jupyter Notebook 4

6. Connected-objects-detection Connected-objects-detection Public

   SÉCURITÉ ET DÉFENSE ÉCOUTE ET HACKING: Machine Learning appliqué à la détection et à la reconnaissance d'objets connectés ZigBee

   Python 3