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AI Algorithm Path
AI Algorithm Path
Oct 20, 2025 · Artificial Intelligence

Building a Flow Matching Model from Scratch: Complete Code Walkthrough

This article walks through the full implementation of a flow‑matching generative model in PyTorch, covering dataset creation, a small MLP that learns a time‑dependent velocity field, the flow‑matching loss, training loop, ODE‑based sampling, visualisation of the learned vector field, and a discussion of the method's limitations and possible extensions.

MLPPyTorchflow matching
0 likes · 13 min read
Building a Flow Matching Model from Scratch: Complete Code Walkthrough
AI Algorithm Path
AI Algorithm Path
Oct 13, 2025 · Artificial Intelligence

Step-by-Step Explanation of Neural ODEs with Code Examples

This article introduces Neural Ordinary Differential Equations, explains their core idea of learning continuous dynamics via a neural derivative function, demonstrates Euler integration, compares naive unfolding with the adjoint method for training, provides a PyTorch implementation, and offers practical tips and extensions such as event handling and physics‑informed models.

Adjoint methodContinuous-time modelingEuler method
0 likes · 11 min read
Step-by-Step Explanation of Neural ODEs with Code Examples