An implementation of the Word2Vec Skip-Gram model with negative sampling in TensorFlow. This project trains word embeddings from scratch on the Text8 corpus and includes utilities for visualization.
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feat: Add .gitkeep files to preserve directory structure
6c9edceView on GitHubfeat: Add run_training.ipynb for easy execution of the training script
e341176View on GitHubfeat: Create main.py script with argparse to run pipeline
ab3d4aeView on GitHubfeat: Implement custom training loop and evaluation in train.py
adb6ce2View on GitHubfeat: Implement data loading and preprocessing in data_loader.py
3b645b2View on GitHubfeat: Add logging and embedding export functions to utils.py
e93ab31View on GitHubfeat: Create config.py for hyperparameters and constants
8a82ef5View on GitHubfeat: Add .gitignore to exclude common Python/IDE files
be54beaView on GitHub