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An explanation of how NeRFs reconstruct 3D scenes from multi-view images and synthesize new viewpoints using volume rendering and neural networks.
Builds intuition for how graph neural networks propagate information through local neighborhoods using message passing, convolution, and attention.
Learn how to build a calorie estimation system using GPT and RAG, covering dataset preparation, API integration, and results analysis for dietary applications.
Dive into practical metrics and evaluation techniques for Large Language Models, focusing on analyzing predictions, outliers, and performance visualization.
Explore how Netflix trains a foundation model for personalized recommendations, covering data-centric approaches, tokenization, training efficiency, model objectives, unique challenges, and scaling strategies.
Explore how Large Language Models are transforming modern programming practices and workflows in this insightful examination of "vibe coding" trends.
Learn how to build a $6000 local setup for running Deepseek-R1, with detailed hardware recommendations and step-by-step guidance.
Discover how to train self-supervised models using LightlyTrain and DINOv2, exploring implementation techniques and practical applications in just 11 minutes.
Master PyTorch Lightning fundamentals from modules and trainers to multi-GPU training, metrics, callbacks, and TensorBoard logging for streamlined deep learning workflows.
Master PyTorch through comprehensive tutorials covering neural networks, CNNs, RNNs, GANs, transformers, computer vision, NLP, and advanced techniques from basic setup to complex implementations.
Master Generative Adversarial Networks from basics to advanced architectures like DCGAN, WGAN, Pix2Pix, CycleGAN, ProGAN, and SRGAN with hands-on PyTorch implementations.
Master object detection fundamentals and implement YOLO architectures from scratch using PyTorch, covering key metrics like IoU, NMS, and mAP with hands-on coding.
Discover how to implement popular machine learning algorithms from scratch using Python, covering KNN, regression, clustering, SVM, and neural networks.
Explore the 360Brew decoder-only foundation model for personalized ranking and recommendation systems in this academic paper review.
Explore the research paper on generative agents in recommendation systems, examining their potential applications and implications for personalized content delivery.
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