Simple implementation of OpenAI CLIP model in PyTorch.

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

High-Resolution Image Synthesis with Latent Diffusion Models

Simple and readable code for training and sampling from diffusion models

Yet another PyTorch implementation of Stable Diffusion (probably easy to read)

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Fast and differentiable MS-SSIM and SSIM for pytorch.

Official implementation of Diffusion Autoencoders

Denoising Diffusion Implicit Models

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.

A Gradio web UI for Large Language Models.

C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"

This is an attempt to implement the neural programmer designed by Neelakantan et al. and introduced in the paper "Neural Programmer: Inducing Latent Programs with Gradient Descent".

Adversarial attacks generated for the ACL paper "Did the Model Understand the Question?"

🦜🔗 Build context-aware reasoning applications

Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

pure Python implementation of BM3D

Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.

Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

Bringing Old Photo Back to Life (CVPR 2020 oral)

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".

unoffical and work in progress PyTorch implementation of CutPaste

A guide that integrates Pytorch DistributedDataParallel, Apex, warmup, learning rate scheduler, also mentions the set-up of early-stopping and random seed.

The LaTeX template for Rutgers MS Thesis or PhD Dissertation