Code for reproducing results in the sliced score matching paper (UAI 2019)
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Updated
Jan 7, 2020 - Python
Code for reproducing results in the sliced score matching paper (UAI 2019)
A demo shows how to combine Langevin dynamics with score matching for generative models.
Noise-conditional score networks for music composition by annealed Langevin dynamics
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
Code for my Bachelor thesis on Semantic Image Synthesis with Score-Based Generative Models
PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Some toy examples of score matching algorithms written in PyTorch
Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)
Score-based Hypothesis Testing for Unnormalized Models
Repository for Deterministic Particle Flow Control framework
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
Official implementation of pre-training via denoising for TorchMD-NET
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Repository for inference method for stochastic processes through geometric path augmentation
Quickest Change Detection for Unnormalized Statistical Models
This repository contains my final submission for the COMP3547 Deep Learning module assignment at Durham University in the academic year 2022/2023. The project focuses on diffusion-based models and their application in synthesising new, unique images, which could plausibly come from a training data set. Final grade received was 71/100.
Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
[ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Noise Conditional Score Networks (NeurIPS 2019, Oral)
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