Machine Learning | Variational Inference with Normalizing Flows in 100 lines of PyTorch code Published 2022-11-26 Download video MP4 360p Recommendations 08:10 Machine Learning | Conditional Generative Adversarial Nets in 100 lines of PyTorch code 25:16 Diffusion Models from Scratch using PyTorch! 45:18 Shape Analysis (Lectures 17, extra content): Continuous normalizing flows 56:29 2021 3.1 Variational inference, VAE's and normalizing flows - Rianne van den Berg 12:31 What are Normalizing Flows? 1:05:34 Building Normalizing Flows with Stochastic Interpolants 17:38 The moment we stopped understanding AI [AlexNet] 14:44 5. RealNVP for 2D data and images 16:17 A* Search: How Your Map Applications Find Shortest Routes 58:54 Introduction to Normalizing Flows (ECCV2020 Tutorial) 56:16 Flow Matching for Generative Modeling (Paper Explained) 09:12 1. Normalizing flows - theory and implementation - 1D flows 24:59 How to train simple AIs to balance a double pendulum 13:53 Generative Modeling - Normalizing Flows 20:18 Why Does Diffusion Work Better than Auto-Regression? 32:51 Behind the Scenes of GANs, VAEs and Flow-based Generative Models Similar videos 08:25 Normalizing Flows | NICE: Non-linear Independent Components Estimation in 100 lines of PyTorch code 00:14 Normalizing Flow Learns CelebA Faces 09:54 Generative Adversarial Nets (GANs) in 100 lines of code | PyTorch 15:58 Stochastic Normalizing Flows 07:33 Flexible Approximate Inference via Stratified Normalizing Flows 4:09:46 Normalizing Flows and Invertible Neural Networks in Computer Vision (CVPR 2021 Tutorial) 10:29 Tutorial 11: Normalizing Flows (Part 1) 21:22 Basic Normalizing Flow Code + Concept Discussion (Affine Half Flows) 04:50 Why are Normalizing Flows called "Flows" ? 13:46 Normalizing flows and autoregressive models part 1 More results