huggingface / diffusers

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

lucidrains / denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

sdv-dev / SDV

Synthetic data generation for tabular data

knightnemo / Awesome-World-Models

A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.

MaximeVandegar / Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

scverse / scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

scraed / LanPaint

High quality training free inpaint for every stable diffusion model. Supports ComfyUI

llm-jp / awesome-japanese-llm

日本語LLMまとめ - Overview of Japanese LLMs

ant-research / 4DAnyone

[SIGGRAPH Asia 2026] 4DAnyone: Create Anyone in 4D from a Casual Monocular Video

AspirinCode / papers-for-molecular-design-using-DL

List of Molecular and Material design using Generative AI and Deep Learning

mbreuss / diffusion-literature-for-robotics

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

Natooz / MidiTok

MIDI / symbolic music tokenizers for Deep Learning models 🎶

EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

bayesflow-org / bayesflow

A Python library for simulation-based inference with deep learning

sdv-dev / Copulas

A library to model multivariate data using copulas.

backblaze-labs / genblaze

Genblaze is an open source Python SDK for orchestrating generative AI media pipelines across video, audio, and image providers with built in provenance for every output.

Yzmblog / DMAD

DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation

sIlENtbuffER / Generative-Models

Generative models from scratch, progressively implemented in NumPy, C, and CUDA to uncover what ML frameworks hide.

worldbench / Orbia

🔥 Orbia: Do Generated Videos Form a Consistent 3D World?

ziplab / ZipTok3D

ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes

visinf / reconsplat

[ECCV 2026] ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views