Aladdin Persson Courses

NeRFs- Neural Radiance Fields - Paper Explained

1 rating

Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Graph Neural Networks- A Gentle Introduction

1 rating

Gentle introduction to Graph Neural Networks, covering key concepts, properties, and variants. Learn about graph representation, information propagation, and common tasks in this emerging field of machine learning.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

PyTorch Lightning Tutorials

Master PyTorch Lightning fundamentals from modules and trainers to multi-GPU training, metrics, callbacks, and TensorBoard logging for streamlined deep learning workflows.

• YouTube
• 1 hour 41 minutes
• Self-Paced
• Free Video

PyTorch Tutorials - Complete Deep Learning Course from Basics to Advanced Applications

Master PyTorch through comprehensive tutorials covering neural networks, CNNs, RNNs, GANs, transformers, computer vision, NLP, and advanced techniques from basic setup to complex implementations.

• YouTube
• 1 day 41 minutes
• Self-Paced
• Free Video

Generative Adversarial Networks - GANs Implementation from Scratch with PyTorch

Master Generative Adversarial Networks from basics to advanced architectures like DCGAN, WGAN, Pix2Pix, CycleGAN, ProGAN, and SRGAN with hands-on PyTorch implementations.

• YouTube
• 8 hours 34 minutes
• Self-Paced
• Free Video

Object Detection Series - Deep Learning

Master object detection fundamentals and implement YOLO architectures from scratch using PyTorch, covering key metrics like IoU, NMS, and mAP with hands-on coding.

• YouTube
• 4 hours 54 minutes
• Self-Paced
• Free Video

Machine Learning Algorithms - Implementation from Scratch in Python

Discover how to implement popular machine learning algorithms from scratch using Python, covering KNN, regression, clustering, SVM, and neural networks.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Building a Simple Recommender System Using Popularity - Non-Personalized Approach

Learn to build a basic recommender system using popularity metrics on the MovieLens dataset. Explore techniques like vote count, mean rating, and damped mean to create non-personalized recommendations.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Building DietGPT: Estimating Calories with RAG - Part 2

Learn how to build a calorie estimation system using GPT and RAG, covering dataset preparation, API integration, and results analysis for dietary applications.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

CogVLM: The Best Open-Source Vision Language Model

Explore an impressive open-source visual language model with performance rivaling GPT-4V. Learn setup and implementation of this powerful AI tool for image understanding and generation.

• YouTube
• 2 hours 5 minutes
• Self-Paced
• Free Video

Netflix Trains a Foundation Model for Personalized Recommendations

Explore how Netflix trains a foundation model for personalized recommendations, covering data-centric approaches, tokenization, training efficiency, model objectives, unique challenges, and scaling strategies.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Train Self-Supervised Models with LightlyTrain + DINOv2

Discover how to train self-supervised models using LightlyTrain and DINOv2, exploring implementation techniques and practical applications in just 11 minutes.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Vibe Coding: LLMs Role in Modern Programming

Explore how Large Language Models are transforming modern programming practices and workflows in this insightful examination of "vibe coding" trends.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

How to Run Deepseek-R1 Locally for $6000

Learn how to build a $6000 local setup for running Deepseek-R1, with detailed hardware recommendations and step-by-step guidance.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

360Brew: A Decoder-only Foundation Model for Personalised Ranking and Recommendation

Explore the 360Brew decoder-only foundation model for personalized ranking and recommendation systems in this academic paper review.

• YouTube
• 15 minutes
• Self-Paced
• Free Video