[ICML 2024] Compositional Image Decomposition with Diffusion Models

Codebase for HiP

Official Release of NeurIPS 2023 Spotlight paper "Object-Centric Slot Diffusion"

CUDA implementation of Tractable Approximate Gaussian Inference

Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

Multi-object image datasets with ground-truth segmentation masks and generative factors.

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

Code release for the paper Generative Modeling With Inverse Heat Dissipation

Code release for NeurIPS 2023 paper SlotDiffusion: Object-centric Learning with Diffusion Models

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Generative Models by Stability AI

TorchCFM: a Conditional Flow Matching library

Consistency Distilled Diff VAE

👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Resume，Resume Templates，程序员简历例句，简历模版，

Code for Improved Condtional VRNNs for Video Prediction

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)

A latent text-to-image diffusion model

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

Line-by-line profiling for Python

High-Resolution Image Synthesis with Latent Diffusion Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Official Implementation of SinDiffusion: Learning a Diffusion Model from a Single Natural Image

Taming Transformers for High-Resolution Image Synthesis

Official code repository for Latent Neural Differential Equations for Video Generation.

Robust Speech Recognition via Large-Scale Weak Supervision

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper