Pere Martra

Large-Language-Model-Notebooks-Course. Practical course about Large Language Models.

Rearchitecting-LLMs. Official code for the Manning book on structural LLM optimization: depth/width pruning, knowledge distillation, and attention optimization, runnable on free Colab GPUs.

FinLLMOpt. Optimized Large Language Models for Financial Applications – Efficient, Scalable, and Domain-Specific AI for Finance.

optipfair. Structured pruning, knowledge distillation, and fairness analysis for Large Language Models.

GANs. GAN tutorials using TensorFlow, Keras & Python

WizardSData. Synthetic datasets creation.

EsBBQ-CaBBQ. Repository for the Spanish and Catalan Bias Benchmarks for Question Answering (EsBBQ and CaBBQ)

fairness-pruning. Official implementation of the paper "Fairness Pruning: Bias Mitigation through Activation-Guided MLP Width Pruning in Large Language Models"

TensorFlow_Advanced. Jupyter Notebook

llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

kaggle. Notebooks used in Kaggle competitions

notebooks. Notebooks using the Hugging Face libraries 🤗

peremartra.

TensorFlowCertification. Notebooks Used to prepare the TensorFlow Certification

llama-glu-expansion-pruning. Jupyter Notebook

optipfair-api. Python

MachineLearningCourse. Jupyter Notebook

Large-Language-Models-Projects. Original source code for Large Language Models Projects

cookbook. Open-source AI cookbook