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ML projects
ML projects
 
 
Marbert-Arbert
Marbert-Arbert
 
 
Image-Processing&Model-Training-Using-Tensorflow.ipynb
Image-Processing&Model-Training-Using-Tensorflow.ipynb
 
 
NpeB9vb.png
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README.md
README.md
 
 
Text_Translation_using_nllb_distill_600m.ipynb
Text_Translation_using_nllb_distill_600m.ipynb
 
 
Zero_shot_audio_classification_using_CLAP.ipynb
Zero_shot_audio_classification_using_CLAP.ipynb
 
 
attention-of-convolution-convnet-vgg16.ipynb
attention-of-convolution-convnet-vgg16.ipynb
 
 
chatbot-blenderbot-with-memory.ipynb
chatbot-blenderbot-with-memory.ipynb
 
 
convolution-neural-network-and-pooling.ipynb
convolution-neural-network-and-pooling.ipynb
 
 
data-preprocessing-and-model-selection-regression.ipynb
data-preprocessing-and-model-selection-regression.ipynb
 
 
image-segmentation-with-sam.ipynb
image-segmentation-with-sam.ipynb
 
 
linear-regression-with-graphs.ipynb
linear-regression-with-graphs.ipynb
 
 
lstm-to-find-the-author-of-the-text-rnn.ipynb
lstm-to-find-the-author-of-the-text-rnn.ipynb
 
 
text-to-speech-model.ipynb
text-to-speech-model.ipynb
 
 
zero-shot-image-classification-using-clip-model.ipynb
zero-shot-image-classification-using-clip-model.ipynb
 
 

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MachineLearning-DeepLearning

This repository is dedicated to exploring and fine-tuning Large Language Models (LLMs) and Machine Learning (ML) models. It serves as a resource for implementing advanced ML and deep learning techniques.

📖 Overview

  • Purpose: Showcase fine-tuning techniques for LLMs/MLs.
  • Content: Scripts, notebooks, and resources for hands-on experimentation.

🚀 Getting Started

  1. Clone the repository: 
    git clone https://github.com/your-username/MachineLearning-DeepLearning.git

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FineTuning LLMs and MLs models

Topics

data-preprocessing hyperparameter-tuning bert fine-tuning tranfer-learning arbert marbert llama2 llama3

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