Official Pytorch Implementation of Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think (ICLR 2025)

Official Implementation of paper "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence"

PyTorch code and models for the DINOv2 self-supervised learning method.

LLM-Merging: Building LLMs Efficiently through Merging

A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control

Editing Models with Task Arithmetic

Tools for merging pretrained large language models.

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

The official repository of paper "LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition".

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

[CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".