Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View rmarlon308's full-sized avatar

Block or report rmarlon308

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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

Pinned Loading

  1. Semantic-Segamentation-with-U-Net-and-DeepLabV3 Semantic-Segamentation-with-U-Net-and-DeepLabV3 Public

    This project explores semantic segmentation on CUB-200-2011 and Pascal VOC 2012 using U-Net and DeepLabV3 with PyTorch, combining data augmentation, class balancing, and hybrid loss functions.

    Python

  2. Gradient-Boosting-Implementation Gradient-Boosting-Implementation Public

    This project features an implementation of the Gradient Boosting algorithm, an ensemble method that combines multiple decision trees (stumps). It utilizes gradient descent optimization to minimize …

    Jupyter Notebook

  3. Genomics-and-High-Dimensional-Data Genomics-and-High-Dimensional-Data Public

    Performing PCA, K-means and fitting a Logistic Regression to find the difference of 3 type of Genomics

    Jupyter Notebook

  4. Neuronal-Communication-Analysis-in-Blue-Crab-Stomatogastric-Organ Neuronal-Communication-Analysis-in-Blue-Crab-Stomatogastric-Organ Public

    This project analyzes data from two neurons (LP and VD) in the blue crab's stomatogastric organ. Using information theory techniques (entropy, mutual information, temporal, and SAX coding), it aims…

    Jupyter Notebook

  5. PCA_FaceRecognition PCA_FaceRecognition Public

    This program realizes face recognition with pca.

    R

  6. QLearning-and-SARSA-Implementation QLearning-and-SARSA-Implementation Public

    This project demonstrates the implementation of two reinforcement learning algorithms: Q Learning and SARSA. These algorithms are evaluated across various grid world maps to analyze their performan…

    Jupyter Notebook