kdafnis
PhD student at Rutgers University (CBIM) working on Computer Vision and Machine Learning.
Rutgers UniversityPiscataway, NJ - Athens, GR
kdafnis's Stars
lisadunlap/LADS
Official Implementation of LADS (Latent Augmentation using Domain descriptionS)
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
lhoyer/MIC
[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Solacex/Domain-Consensus-Clustering
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
VisionLearningGroup/DANCE
repository for Universal Domain Adaptation through Self-supervision
Albert0147/AaD_SFDA
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
tim-learn/DINE
code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
NVlabs/ODISE
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
zysong0113/SAVC
[CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
nkolot/nflows
Normalizing flows in PyTorch
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
jmiemirza/DUA
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)
jmiemirza/ActMAD
ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)
ali-vilab/composer
Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"
meta-llama/llama
Inference code for Llama models
lllyasviel/ControlNet
Let us control diffusion models!
juncongmoo/pyllama
LLaMA: Open and Efficient Foundation Language Models
rohitgandikota/erasing
Erasing Concepts from Diffusion Models
TencentARC/T2I-Adapter
T2I-Adapter
JamesQFreeman/contrastive_learning_in_100_lines
A simple and intuitive contrastive learning implementation
cfoster0/simple-diffusion-model
Pedagogical codebase for a simplified score-based generative model design, with training loop
megvii-research/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
sungyongs/graph-based-nn
Graph Convolutional Networks (GCNs)
lucidrains/siren-pytorch
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
facebookresearch/theseus
A library for differentiable nonlinear optimization
facebookresearch/detr
End-to-End Object Detection with Transformers
lshiwjx/2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
niais/Awesome-Skeleton-based-Action-Recognition
Skeleton-based Action Recognition