DeepFindr

Uniform Manifold Approximation and Projection (UMAP) | Dimensionality Reduction Techniques (5/5)

t-distributed Stochastic Neighbor Embedding (t-SNE) | Dimensionality Reduction Techniques (4/5)

Multidimensional Scaling (MDS) | Dimensionality Reduction Techniques (3/5)

Principal Component Analysis (PCA) | Dimensionality Reduction Techniques (2/5)

Методы снижения размерности | Введение и изучение многообразий (1/5)

Объяснение LoRA (и немного о точности и квантизации)

Краткое руководство по Vision Transformer — теория и код за (почти) 15 минут

Объяснение создания персонализированных изображений (с использованием Dreambooth)!

Equivariant Neural Networks | Part 3/3 - Transformers and GNNs

Equivariant Neural Networks | Part 2/3 - Generalized CNNs

Equivariant Neural Networks | Part 1/3 - Introduction

State of AI 2022 - My Highlights

Contrastive Learning in PyTorch - Part 2: CL on Point Clouds

Контрастное обучение в PyTorch — Часть 1: Введение

Self-/Unsupervised GNN Training

Diffusion models from scratch in PyTorch

Causality and (Graph) Neural Networks

How to get started with Data Science (Career tracks and advice)

Converting a Tabular Dataset to a Temporal Graph Dataset for GNNs

Converting a Tabular Dataset to a Graph Dataset for GNNs

How to handle Uncertainty in Deep Learning #2.2

How to handle Uncertainty in Deep Learning #2.1

How to handle Uncertainty in Deep Learning #1.2

Как справиться с неопределенностью в глубоком обучении #1.1

Recommender Systems using Graph Neural Networks

Fake News Detection using Graphs with Pytorch Geometric

Fraud Detection with Graph Neural Networks

Прогнозирование трафика с помощью Pytorch Geometric Temporal

Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting)

Python Graph Neural Network Libraries (an Overview)