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

Some AI notebooks.

A performance benchmark of recent image classification models in deep learning

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

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

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

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...

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

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.