-
Updated
Oct 10, 2024 - Jupyter Notebook
sgd-optimizer
Here are 105 public repositories matching this topic...
Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance
-
Updated
Oct 7, 2024 - Python
A collection of scratch implementations of various machine learning algorithms, including KMeans++, K-Nearest Neighbors (KNN), Logistic Regression, Stochastic Gradient Descent (SGD), Adam optimizer.
-
Updated
Sep 21, 2024 - Jupyter Notebook
💻This project involves the application of machine learning and deep learning methods 📊 to detect diabetes🩸 and diabetes-related eye 👁️diseases.
-
Updated
Sep 12, 2024 - Jupyter Notebook
A deep learning classification program to detect the CT-scan results using python
-
Updated
Aug 25, 2024 - Jupyter Notebook
Brain Tumor Detection using CNN to classify MRI images into tumorous and non-tumorous categories. The model leverages VGG19 with custom layers, data augmentation, and optimizations to improve accuracy, aiming to assist in early and reliable diagnosis.
-
Updated
Aug 23, 2024 - Jupyter Notebook
It's designed to take you on a journey through the fundamental principles and applications of Linear Regression.
-
Updated
Aug 21, 2024 - Jupyter Notebook
JAX compilation of RDDL description files, and a differentiable planner in JAX.
-
Updated
Aug 8, 2024 - Python
Code snippets for a crash course in ml & biomed eng.
-
Updated
Aug 8, 2024 - Python
A simple deep learning library for training end-to-end fully-connected Artificial Neural Networks (ANNs), primarily based on numpy and autograd.
-
Updated
Jul 17, 2024 - Python
This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of land based on satellite or aerial images.
-
Updated
Jun 28, 2024 - Python
This AI "Plant Doctor" uses image analysis to diagnose plant diseases. It learns from the PlantVillage dataset and employs powerful techniques
-
Updated
Jun 17, 2024 - Jupyter Notebook
Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
-
Updated
Jun 15, 2024 - Python
Artificial neural network package written in python
-
Updated
Jun 12, 2024 - Python
-
Updated
Jun 7, 2024 - Jupyter Notebook
This implementation serves as a starting point for understanding and experimenting with linear regression algorithm and optimization methods in Python.
-
Updated
May 2, 2024 - Jupyter Notebook
Retrieval based biomedical chatbot to answer questions related to diseases
-
Updated
Apr 22, 2024 - Python
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks
-
Updated
Apr 6, 2024 - Python
Built a custom adam scheduler using gradient clipping, LR scheduling, momentum updates, with two different loss functions
-
Updated
Jan 20, 2024 - Python
Visualisation SGD optimizator, exemples
-
Updated
Jan 16, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the sgd-optimizer topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sgd-optimizer topic, visit your repo's landing page and select "manage topics."