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.

PyTorch reimplementation of Diffusion Models

Kolors Team

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"

A framework for few-shot evaluation of language models.

Measuring Massive Multitask Language Understanding | ICLR 2021

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

中文大模型能力评测榜单：覆盖百度文心一言、chatgpt、阿里通义千问、讯飞星火、belle / chatglm6b 等开源大模型，多维度能力评测。不仅提供能力评分排行榜，也提供所有模型的原始输出结果！

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

PyTorch implementations of Generative Adversarial Networks.

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Inference code for Llama models

Masked Autoencoder meets GANs

A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

High-Resolution Image Synthesis with Latent Diffusion Models

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

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

pytorch knn [cuda version]

Channel Equilibrium Networks for Learning Deep Representation, ICML2020

Code for Decorrelated Batch Normalization

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."