DeepFindr

@UCScjF2g0_ZNy0Yv3KbsbR7Q - 46.3K subscribers

Hello and welcome on my Channel :) I make videos about all kinds of Machine Learning / Data Science topics and am happy to share what I've learned. If you enjoy the content and want to support me (only if you want!), these are the current options: ►Share this channel: bit.ly/3zEqL1W ►Support me on Patreon: bit.ly/2Wed242 ►Buy me a coffee on Ko-Fi: bit.ly/3kJYEdl Contact: [email protected] Website: deepfindr.github.io

Home Videos Live Playlists

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

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

13K views - 2 years ago

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

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

17K views - 2 years ago

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

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

16K views - 2 years ago

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

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

24K views - 2 years ago

Dimensionality Reduction Techniques | Introduction and Manifold Learning (1/5)

Dimensionality Reduction Techniques | Introduction and Manifold Learning (1/5) DeepFindr

32K views - 2 years ago

LoRA explained (and a bit about precision and quantization)

LoRA explained (and a bit about precision and quantization) DeepFindr

128K views - 2 years ago

Vision Transformer Quick Guide - Theory and Code in (almost) 15 min

Vision Transformer Quick Guide - Theory and Code in (almost) 15 min DeepFindr

204K views - 2 years ago

Personalized Image Generation (using Dreambooth) explained!

Personalized Image Generation (using Dreambooth) explained! DeepFindr

9.8K views - 3 years ago

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

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

9.1K views - 3 years ago

Equivariant Neural Networks | Part 2/3 - Generalized CNNs

Equivariant Neural Networks | Part 2/3 - Generalized CNNs DeepFindr

8K views - 3 years ago

Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 1/3 - Introduction DeepFindr

18K views - 3 years ago

State of AI 2022 - My Highlights

State of AI 2022 - My Highlights DeepFindr

2.9K views - 3 years ago

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

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

23K views - 3 years ago

Contrastive Learning in PyTorch - Part 1: Introduction

Contrastive Learning in PyTorch - Part 1: Introduction DeepFindr

48K views - 3 years ago

Self-/Unsupervised GNN Training

Self-/Unsupervised GNN Training DeepFindr

24K views - 3 years ago

Diffusion models from scratch in PyTorch

Diffusion models from scratch in PyTorch DeepFindr

323K views - 3 years ago

Causality and (Graph) Neural Networks

Causality and (Graph) Neural Networks DeepFindr

23K views - 4 years ago

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

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

1.8K views - 4 years ago

Converting a Tabular Dataset to a Temporal Graph Dataset for GNNs

Converting a Tabular Dataset to a Temporal Graph Dataset for GNNs DeepFindr

14K views - 4 years ago

Converting a Tabular Dataset to a Graph Dataset for GNNs

Converting a Tabular Dataset to a Graph Dataset for GNNs DeepFindr

39K views - 4 years ago

How to handle Uncertainty in Deep Learning #2.2

How to handle Uncertainty in Deep Learning #2.2 DeepFindr

3.9K views - 4 years ago

How to handle Uncertainty in Deep Learning #2.1

How to handle Uncertainty in Deep Learning #2.1 DeepFindr

7.1K views - 4 years ago

How to handle Uncertainty in Deep Learning #1.2

How to handle Uncertainty in Deep Learning #1.2 DeepFindr

5.1K views - 4 years ago

How to handle Uncertainty in Deep Learning #1.1

How to handle Uncertainty in Deep Learning #1.1 DeepFindr

15K views - 4 years ago

Recommender Systems using Graph Neural Networks

Recommender Systems using Graph Neural Networks DeepFindr

29K views - 4 years ago

Fake News Detection using Graphs with Pytorch Geometric

Fake News Detection using Graphs with Pytorch Geometric DeepFindr

17K views - 4 years ago

Fraud Detection with Graph Neural Networks

Fraud Detection with Graph Neural Networks DeepFindr

37K views - 4 years ago

Traffic Forecasting with Pytorch Geometric Temporal

Traffic Forecasting with Pytorch Geometric Temporal DeepFindr

30K views - 4 years ago

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

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

41K views - 4 years ago

Python Graph Neural Network Libraries (an Overview)

Python Graph Neural Network Libraries (an Overview) DeepFindr

9.5K views - 4 years ago

Explaining Twitch Predictions with GNNExplainer

Explaining Twitch Predictions with GNNExplainer DeepFindr

9.5K views - 4 years ago

How to explain Graph Neural Networks (with XAI)

How to explain Graph Neural Networks (with XAI) DeepFindr

22K views - 4 years ago

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 2/2

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 2/2 DeepFindr

10K views - 4 years ago

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 1/2

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 1/2 DeepFindr

17K views - 4 years ago

GNN Project #4.3 - Code explanation

GNN Project #4.3 - Code explanation DeepFindr

8K views - 4 years ago

GNN Project #4.3 - One-shot molecule generation - Part 1

GNN Project #4.3 - One-shot molecule generation - Part 1 DeepFindr

7.2K views - 4 years ago

GNN Project #4.2 - GVAE Training and Adjacency reconstruction

GNN Project #4.2 - GVAE Training and Adjacency reconstruction DeepFindr

11K views - 4 years ago

GNN Project #4.1 - Graph Variational Autoencoders

GNN Project #4.1 - Graph Variational Autoencoders DeepFindr

18K views - 4 years ago

GNN Project #3.2 - Graph Transformer

GNN Project #3.2 - Graph Transformer DeepFindr

19K views - 4 years ago

GNN Project #3.1 - Graph-level predictions

GNN Project #3.1 - Graph-level predictions DeepFindr

28K views - 5 years ago

GNN Project #2 - Creating a Custom Dataset in Pytorch Geometric

GNN Project #2 - Creating a Custom Dataset in Pytorch Geometric DeepFindr

46K views - 5 years ago

GNN Project #1 - Introduction to HIV dataset

GNN Project #1 - Introduction to HIV dataset DeepFindr

24K views - 5 years ago

Understanding Graph Attention Networks

Understanding Graph Attention Networks DeepFindr

122K views - 5 years ago

Explainable AI explained! | #6 Layerwise Relevance Propagation with MRI data

Explainable AI explained! | #6 Layerwise Relevance Propagation with MRI data DeepFindr

24K views - 5 years ago

Explainable AI explained! | #5 Counterfactual explanations and adversarial attacks

Explainable AI explained! | #5 Counterfactual explanations and adversarial attacks DeepFindr

30K views - 5 years ago

Explainable AI explained! | #4 SHAP

Explainable AI explained! | #4 SHAP DeepFindr

113K views - 5 years ago

Explainable AI explained! | #3 LIME

Explainable AI explained! | #3 LIME DeepFindr

88K views - 5 years ago

Explainable AI explained! | #2 By-design interpretable models with Microsofts InterpretML

Explainable AI explained! | #2 By-design interpretable models with Microsofts InterpretML DeepFindr

46K views - 5 years ago

Explainable AI explained! | #1 Introduction

Explainable AI explained! | #1 Introduction DeepFindr

93K views - 5 years ago

How to use edge features in Graph Neural Networks (and PyTorch Geometric)

How to use edge features in Graph Neural Networks (and PyTorch Geometric) DeepFindr

62K views - 5 years ago

Understanding Convolutional Neural Networks | Part 3 / 3 - Transfer Learning and Explainable AI

Understanding Convolutional Neural Networks | Part 3 / 3 - Transfer Learning and Explainable AI DeepFindr

2.1K views - 5 years ago

Understanding Convolutional Neural Networks | Part 2 / 3 - Wonders of the world CNN with PyTorch

Understanding Convolutional Neural Networks | Part 2 / 3 - Wonders of the world CNN with PyTorch DeepFindr

1.8K views - 5 years ago

Understanding Convolutional Neural Networks | Part 1 / 3 - The Basics

Understanding Convolutional Neural Networks | Part 1 / 3 - The Basics DeepFindr

4.3K views - 5 years ago

Node Classification on Knowledge Graphs using PyTorch Geometric

Node Classification on Knowledge Graphs using PyTorch Geometric DeepFindr

45K views - 5 years ago

Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit

Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit DeepFindr

80K views - 5 years ago

Understanding Graph Neural Networks | Part 2/3 - GNNs and it's Variants

Understanding Graph Neural Networks | Part 2/3 - GNNs and it's Variants DeepFindr

102K views - 5 years ago

Understanding Graph Neural Networks | Part 1/3 - Introduction

Understanding Graph Neural Networks | Part 1/3 - Introduction DeepFindr

200K views - 5 years ago