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1. Boltzmann-Machine Boltzmann-Machine Public

   A powerful class of artificial neural networks inspired by statistical mechanics and designed for unsupervised learning tasks.

   Jupyter Notebook 1

2. Stacked-Autoencoders Stacked-Autoencoders Public

   This repository contains an implementation of stacked autoencoders, a powerful neural network architecture used for unsupervised feature learning and dimensionality reduction.

   Jupyter Notebook 1

3. CLIP-Architecture CLIP-Architecture Public

   CLIP combines Natural Language Processing and Computer Vision. Zero-shot: Zero-shot learning is a way to generalize on unseen labels, without having specifically trained to classify them. For examp…

   Jupyter Notebook 1

4. Ecommerce-Text-Classification Ecommerce-Text-Classification Public

   This repository contains a Python script for efficient text classification of e-commerce product labels. The code uses the TfidfVectorizer to convert text data into numerical vectors and employs bo…

   Jupyter Notebook 2

5. text-to-Image text-to-Image Public

   Implementation of an image generation process using a combination of the CLIP (Contrastive Language-Image Pre-training) model and a VQ-VAE-2 based generator from the "taming-transformers" reposito…

   Jupyter Notebook 1

6. Bag-Of-Word Bag-Of-Word Public

   Explore the simplicity and efficiency of our Bag of Words (BoW) model on GitHub. This versatile text analysis solution transforms text into numerical vectors for tasks like sentiment analysis and d…

   Jupyter Notebook 1