344 тысяч подписчиков
57 видео
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)
Dimensionality Reduction Techniques | Introduction and Manifold Learning (1/5)
LoRA explained (and a bit about precision and quantization)
Vision Transformer Quick Guide - Theory and Code in (almost) 15 min
Personalized Image Generation (using Dreambooth) explained!
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
Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 2/2
Explainable AI explained! | #5 Counterfactual explanations and adversarial attacks
Understanding Graph Neural Networks | Part 2/3 - GNNs and it's Variants
Understanding Graph Attention Networks
GNN Project #4.1 - Graph Variational Autoencoders
Node Classification on Knowledge Graphs using PyTorch Geometric
Diffusion models from scratch in PyTorch
Understanding Graph Neural Networks | Part 1/3 - Introduction
How to use edge features in Graph Neural Networks (and PyTorch Geometric)
Explainable AI explained! | #4 SHAP
How to handle Uncertainty in Deep Learning #2.2
Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 1/2
Self-/Unsupervised GNN Training
Explainable AI explained! | #3 LIME
Explaining Twitch Predictions with GNNExplainer
GNN Project #2 - Creating a Custom Dataset in Pytorch Geometric
Converting a Tabular Dataset to a Graph Dataset for GNNs
Contrastive Learning in PyTorch - Part 1: Introduction
Traffic Forecasting with Pytorch Geometric Temporal
Fake News Detection using Graphs with Pytorch Geometric
Understanding Convolutional Neural Networks | Part 2 / 3 - Wonders of the world CNN with PyTorch
Explainable AI explained! | #6 Layerwise Relevance Propagation with MRI data
Fraud Detection with Graph Neural Networks
Understanding Convolutional Neural Networks | Part 1 / 3 - The Basics
Causality and (Graph) Neural Networks
How to explain Graph Neural Networks (with XAI)
Python Graph Neural Network Libraries (an Overview)
Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit
Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting)
Explainable AI explained! | #1 Introduction
