Skip to content
#

transfer-learning-and-fine-tuning

Star

Here are 4 public repositories matching this topic...

Language: All
Filter by language
All 4 Jupyter Notebook 3 Python 1

ShotokanOSS / ggufForge

Star 1

A comprehensive toolkit for training and running lightweight adapters for GGUF-based language models (ERNIE, Llama, Mistral, Phi-3, etc.) without modifying the base model.

pytorch transfer-learning efficient-training transfer-learning-nlp efficient-training-and-inference language-model-adapter llama-cpp local-llm llama-cpp-python gguf llm-optimization transfer-learning-and-fine-tuning local-llm-gguf low-resource-finetuning quantization-recovery logit-correction cost-efficient-ai
  • Updated Feb 15, 2026
  • Python

Kamal-kishor1 / Computer-Vision

Star 1

This repository contains the completed projects and practical implementations from my Computer Vision learning journey. It covers core concepts and advanced techniques, focusing on real-world applications using deep learning.

convolutional-neural-networks object-detection-and-classification image-processing-fundamentals transfer-learning-and-fine-tuning feature-detection-and-matching face-recognition-and-tracking hands-on-opencv-python-and-pytorch
  • Updated Aug 21, 2025
  • Jupyter Notebook

SunnyRao07 / cnn-vs-mobilenet-image-classification

Star 0

Deep learning project comparing CNN and MobileNetV2 for image classification on a small, imbalanced dataset. Includes preprocessing, augmentation, training, evaluation, and performance analysis using Python, TensorFlow, Keras, and Scikit-learn.

imbalanced-data-handling cnn-and-mobilenetv2-modeling transfer-learning-and-fine-tuning image-preprocessing-and-augmentation model-training-and-regularization evaluation-with-classification-metrics
  • Updated Jun 29, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the transfer-learning-and-fine-tuning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the transfer-learning-and-fine-tuning topic, visit your repo's landing page and select "manage topics."

Learn more