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Diffusion_models Alternatives
Similar projects and alternatives to diffusion_models
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score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
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Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
[ECCV 2022] Compositional Generation using Diffusion Models
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Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)
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DiffusionFastForward
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
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Self-Attention-Guidance
Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)
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computervision-recipes
Discontinued Best Practices, code samples, and documentation for Computer Vision.
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machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better diffusion_models alternative or higher similarity.
diffusion_models discussion
diffusion_models reviews and mentions
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- [Variational and Diffusion Methods] Minimal standalone example of diffusion model
- A minimal standalone example of diffusion model
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(unguided) Sampling from a diffusion model
I'm trying to figure out a way to reproduce the sampling method used in the DDPM model arxiv link. The codebase link is roughly here for the original model and for improved DDPMs here. There is also implementations recently posted to r/MachineLearning such as this one (check the reverse process section) and finally this last one.
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[P] Hands on diffusion models
A minimal example of the forward and reverse flow of diffusion models with equations from the paper and visualizations alongside the code: https://github.com/InFoCusp/diffusion_models I coded it up since I wanted to familiarize myself with rhe end to end flow. It uses a simple 2d dataset that can train within minutes. Hope others on this subreddit find it useful.
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Stats
Basic diffusion_models repo stats
4
163
0.0
about 4 years ago
infocusp/diffusion_models is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of diffusion_models is Jupyter Notebook.
Popular Comparisons
- diffusion_models VS score_sde_pytorch
- diffusion_models VS Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
- diffusion_models VS nlpaug
- diffusion_models VS Reinforcement-Learning
- diffusion_models VS depth-fm
- diffusion_models VS DiffusionFastForward
- diffusion_models VS Wuerstchen
- diffusion_models VS Self-Attention-Guidance
- diffusion_models VS computervision-recipes
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