Stars
Official Implementation of LADS (Latent Augmentation using Domain descriptionS)
A collection of AWESOME things about domain adaptation
[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
repository for Universal Domain Adaptation through Self-supervision
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
[CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
nkolot / nflows
Forked from bayesiains/nflowsNormalizing flows in PyTorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Collection of awesome test-time (domain/batch/instance) adaptation methods
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)
ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)
Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"
LLaMA: Open and Efficient Foundation Language Models
Erasing Concepts from Diffusion Models
A simple and intuitive contrastive learning implementation
Pedagogical codebase for a simplified score-based generative model design, with training loop
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
A library for differentiable nonlinear optimization
End-to-End Object Detection with Transformers
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
Skeleton-based Action Recognition