Scientific Software
Updated 6 months ago

kramersmoyal — Peer-reviewed • Rank 9.8 • Science 93%

kramersmoyal: Kramers--Moyal coefficients for stochastic processes - Published in JOSS (2019)

Scientific Software
Updated 6 months ago

QMRTools — Peer-reviewed • Rank 5.6 • Science 93%

QMRTools: a Mathematica toolbox for quantitative MRI analysis. - Published in JOSS (2019)

Updated 6 months ago

mmagic • Rank 20.5 • Science 54%

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Updated 6 months ago

KomaMRI • Rank 14.0 • Science 59%

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Updated 6 months ago

brushnet • Rank 8.8 • Science 64%

[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"

Scientific Software
Updated 6 months ago

kinisi — Peer-reviewed • Rank 6.3 • Science 59%

kinisi: Bayesian analysis of mass transport from molecular dynamics simulations - Published in JOSS (2024)

Mathematics Artificial Intelligence and Machine Learning
Scientific Software · Peer-reviewed
Updated 5 months ago

https://github.com/ocbe-uio/trajpy • Rank 8.1 • Science 54%

Trajpy - empowering feature engineering for trajectory analysis across domains.

Updated 6 months ago

dilightnet • Rank 6.3 • Science 36%

Official Code Release for [SIGGRAPH 2024] DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation

Updated 6 months ago

riffusion-hobby • Rank 10.0 • Science 31%

Stable diffusion for real-time music generation

Updated 5 months ago

https://github.com/cloneofsimo/paint-with-words-sd • Rank 8.1 • Science 23%

Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.

Updated 6 months ago

NetworkInference • Rank 10.1 • Science 10%

R implementation to the netinf algorithm. Infers the most likely diffusion network from a set of events

Updated 5 months ago

https://github.com/cloneofsimo/mindiffusion • Rank 7.7 • Science 10%

Self-contained, minimalistic implementation of diffusion models with Pytorch.

Updated 6 months ago

open-muse • Science 54%

Open reproduction of MUSE for fast text2image generation.

Updated 6 months ago

stable-diffusion-ft • Science 44%

2024 Stable Diffusion FT

Updated 5 months ago

https://github.com/blurgyy/compass • Science 36%

[ICCV 2025] Enhancing spatial understanding in text-to-Image diffusion models

Updated 6 months ago

dial-mpc • Science 36%

Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.

Updated 6 months ago

lora • Science 36%

Using Low-rank adaptation to quickly fine-tune diffusion models.

Updated 5 months ago

https://github.com/csgillespie/cor-pseudo-marginal • Science 13%

Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models

Updated 5 months ago

https://github.com/bytedance/uno • Science 36%

[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning

Updated 6 months ago

sana • Science 54%

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

Updated 6 months ago

SpinDoctor • Science 18%

Diffusion MRI Simulation Toolbox in Julia

Updated 6 months ago

swelling_tablet_fronts_d_k_from_mri_t2_or_img • Science 49%

Tool for calculating swelling tablet eroding front's diffusion rate D and the rate of the swelling k from time series of either T2-maps or MRI images in FDF or Text Image format. (Python 3)