Compares DGX Spark and Mac Mini for local PyTorch development, focusing on LLM inference and fine-tuning performance benchmarks.
A hands-on guide to understanding and implementing the Qwen3 large language model architecture from scratch using pure PyTorch.
A guide to implementing LoRA and the new DoRA method for efficient model finetuning in PyTorch from scratch.
Techniques to reduce memory usage by up to 20x when training LLMs and Vision Transformers in PyTorch.
Learn techniques to speed up PyTorch model training by 8x using PyTorch Lightning, maintaining accuracy while reducing training time.
A comparison of AutoAugment, RandAugment, AugMix, and TrivialAugment image augmentation methods in PyTorch for reducing overfitting.
A curated list of the top 10 open-source machine learning and AI projects released or updated in 2022, including PyTorch 2.0 and scikit-learn 1.2.
A hands-on exploration of PyTorch's new DataPipes for efficient data loading, comparing them to traditional Datasets and DataLoaders.
A hands-on review of PyTorch's new M1 GPU support, including installation steps and performance benchmarks for deep learning tasks.
A guide to correctly implementing cross-entropy loss in PyTorch for binary and multiclass classification, explaining common pitfalls and best practices.
Explains the difference between .update() and .forward() in TorchMetrics, a PyTorch library for tracking model performance during training.
Author announces a new machine learning book covering scikit-learn, deep learning with PyTorch, neural networks, and reinforcement learning.
A comprehensive deep learning course covering fundamentals, neural networks, computer vision, and generative models using PyTorch.
A review of the book 'Deep Learning with PyTorch', covering its structure, content, and suitability for students and beginners in deep learning.
