Official code for "On Calibrating Diffusion Probabilistic Models"

Official implementation for "ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing"

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

A unified framework for 3D content generation.

Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

A collection of libraries to optimise AI model performances

Stable Diffusion with Core ML on Apple Silicon

Official Implementation of Paella https://arxiv.org/abs/2211.07292v2

"Probabilistic Machine Learning" - a book series by Kevin Murphy

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

Karras et al. (2022) diffusion models for PyTorch

Stable Diffusion web UI

Easy and Efficient Transformer : Scalable Inference Solution For Large NLP model

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Get started with CelebA-HQ dataset in under 5 mins !

An elegant PyTorch deep reinforcement learning library.

健康学习到150岁 - 人体系统调优不完全指南

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)

Code for the paper Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022 Outstanding Paper Award)

Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)

A plugin for Mac WeChat

Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)

my mac/linux config file。快速配置 mac 终端环境

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.