J-zin's Stars
LTH14/mar
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
THUDM/CogVideo
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
anuragajay/hip
Codebase for HiP
sihyun-yu/PVDM
Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).
stas00/ml-engineering
Machine Learning Engineering Open Book
zengyi-li/MDSM
Multiscale de-noising score matching
apple/ml-mdm
Train high-quality text-to-image diffusion models in a data & compute efficient manner
black-forest-labs/flux
Official inference repo for FLUX.1 models
thu-ml/cond-image-leakage
Official implementation for "Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model" (NeurIPS 2024)
MyNiuuu/MOFA-Video
[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.
0voice/expert_readed_books
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,**类,数学类,人物传记书籍
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
FoundationVision/VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
cloneofsimo/d3pm
Minimal Implementation of a D3PM in pytorch
lblaoke/EMCMC
PyTorch implementation of the paper "Entropy-MCMC: Sampling from Flat Basins with Ease" (ICLR 2024)
openai/weak-to-strong
LZhengisme/self-infilling
[ICML 2024] Self-Infilling Code Generation
muandet-lab/ExplainingGaussianProcess
The repository contains code for the project "Explain the uncertain: Stochastic Shapley Values for Gaussian Process Models"
timgaripov/compositional-sculpting
Code for paper "Compositional Sculpting of Iterative Generative Processes"
Algomancer/Bayesian-Flow-Networks
A simple implimentation of Bayesian Flow Networks (BFN)
DPS2022/diffusion-posterior-sampling
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
NVlabs/I2SB
atong01/conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
franciscovargas/denoising_diffusion_samplers
alsdudrla10/DG
Official repo for Discriminator Guidance.
alisiahkoohi/Langevin-dynamics
Sampling with gradient-based Markov Chain Monte Carlo approaches
ha0ransun/LBP_Scale
Official Repo for NeurIPS 2022 Paper: Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
google-research/discs
DISCS: The code base for the Benchmark for Discrete Sampling
cloneofsimo/planning-with-diffusion-tutorial
nchopin/particles
Sequential Monte Carlo in python