Collection of TensorFlow/Keras Jupyter notebooks demonstrating low-level APIs, custom training loops, callbacks, subclassed models, custom loss functions, transfer learning, and advanced deep learning architectures.

Jupyter notebooks on custom loss functions in TensorFlow/Keras: modified MSE penalizing overconfidence and Categorical Focal Loss with L1/L2 regularization for imbalanced multi-class tasks (e.g., cats_vs_dogs). Includes model building, preprocessing, GPU checks, and focuses on learning mechanics over metrics.

Benchmarking notebooks for various Persian G2P models, comparing their performance on the SentenceBench dataset, including Homo-GE2PE and Homo-T5.

Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook

CX_BENCH - light and fast CPU benchmark. SIMPLE NOTE v1.1 - simple notebook. X-Arkanoid v1.0 - fun and easy 2D game. WEEK_TIMER and more...

Some AI notebooks.

Benchmarking for Jespipe to see if performance is better than Jupyter Notebook.

A performance benchmark of recent image classification models in deep learning

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

A notebook benchmarking a recently developed Dimensionality Reduction technique using Siamese Networks supporting both supervised and unsupervised modes.

Benchmark of Multiple Imputation using Chained Equations (MICE) algorithms on missing value imputation