Pinned Repositories
Abnormal_Event_Detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Accelerator-K8S
Kubernetes device plugin supporting FPGA and other accelerators
AdvancedML
Reading list for the Advanced Machine Learning Course
Bayesian-Nonparametric-Method
Example codes for Bayesian-Nonparametric-Method
Bundle_HybridParallelism
Bundle-based Hybrid Parallelism Example
distributed-tf
distributed tensorflow (model parallelism) example repository
FPGA-Docker
FPGA-Docker
RLAngryBird
Training Angrybird using Reinforcement Learning - DDPG (Deep Deterministic Policy Gradient)
nntrainer
NNtrainer is Software Framework for Training Neural Network Models on Devices.
VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
EunjuYang's Repositories
EunjuYang/Bayesian-Nonparametric-Method
Example codes for Bayesian-Nonparametric-Method
EunjuYang/Bundle_HybridParallelism
Bundle-based Hybrid Parallelism Example
EunjuYang/kkokkobot_eggdata
Detection, classification and regression task implementation with data construction for 'EGG'
EunjuYang/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
EunjuYang/BayesTune
A Bayesian approach to PEFT: Sparse Foundation Model Fine-tuning
EunjuYang/clustered-federated-learning
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
EunjuYang/cotta
[CVPR 2022] CoTTA Code for our paper Continual Test-Time Domain Adaptation
EunjuYang/detr_Egg_Detection
End-to-End Object Detection with Transformers for custom dataset are forked from Facebook Research
EunjuYang/DisDis
The official PyTorch code implementation of "Personalized Trajectory Prediction via Distribution Discrimination" in ICCV 2021.
EunjuYang/DLStreamServing
deep learning platform for stream data
EunjuYang/Domain-generalization
All about domain generalization
EunjuYang/DPMM
Dirichlet Process Mixture Model
EunjuYang/DUA
Source code "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem." @ CVPR2020
EunjuYang/googletest
GoogleTest - Google Testing and Mocking Framework
EunjuYang/HCVAE-Traj-prediction
Trajectory prediction with HCVAE
EunjuYang/hqq
Official implementation of Half-Quadratic Quantization (HQQ)
EunjuYang/kkokkobot_Detection
(Fork Manh's directory for submission)_ 제출용
EunjuYang/moco-v3
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
EunjuYang/Neural-Network-Diffusion
We introduce a novel approach for parameter generation, named neural network diffusion (\textbf{p-diff}, p stands for parameter), which employs a standard latent diffusion model to synthesize a new set of parameters
EunjuYang/nntrainer
NNtrainer is Software Framework for Training Neural Network Models on Devices.
EunjuYang/Paper_Categorization
Own Paper Categorization
EunjuYang/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
EunjuYang/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
EunjuYang/STTran
Spatial-Temporal Transformer for Dynamic Scene Graph Generation, ICCV2021
EunjuYang/TRACE
[ICCV 2021] Target Adaptive Context Aggregation for Video Scene Graph Generation
EunjuYang/TrAISformer
Pytorch implementation of TrAISformer---A generative transformer for AIS trajectory prediction (https://arxiv.org/abs/2109.03958).
EunjuYang/Trajectron-plus-plus
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
EunjuYang/TransFG
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).
EunjuYang/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
EunjuYang/vit-explain
Explainability for Vision Transformers