Table of Contents
- CodeLab
- Computer Vision
- Natural Language Processing
- Tabular Data
- Time-Series
- Reinforcement Learning
- Audio Data
- Multi-modality
- Extra
- Pytorch Accelerator
- Members
DSBA code study (2021.03.04 ~ )
Classification
- Balanced Softmax for classification [Jaehyuk Heo]
- Visual Prompt Tuning [Jaehyuk Heo]
- Model Soup [Jaehyuk Heo]
- Point cloud classification with PointNet [Hyeongwon Kang]
- Involutional neural networks [Subin Kim]
- Image classification with Vision Transformer [Jaehyuk Heo]
- Video Classification with Transformers + Video Vision Transformer [Hyeongwon Kang]
Self-Supervised Learning
- Semi-supervised image classification using contrastive pretraining with SimCLR [Subin Kim]
- Self-supervised contrastive learning with SimSiam [Jaehyuk Heo]
- Supervised Contrastive Learning [Subin Kim]
- With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations [Hun Im]
Image Denoising
- Convolutional autoencoder for image denoising [Jeongseob Kim]
Segmentation
- Point cloud segmentation with PointNet [Hyeongwon Kang]
- Image segmentation with a U-Net-like architecture [Jeongseob Kim]
Object Detection
- Object Detection with RetinaNet [Jaehyuk Heo]
Knowledge Distillation
- Knowledge Distillation [Jaehyuk Heo]
Retrieval
- Metric learning for image similarity search [Jaehyuk Heo]
- Image similarity estimation using a Siamese Network with a triplet loss [Yonggi Jeong]
OCR
- OCR model for reading Captchas [Subin Kim]
Augmentation
- RandAugment for Image Classification for Improved Robustness [Yonggi Jeong]
- CutMix data augmentation for image classification [Jaehyuk Heo]
Clustering
- Semantic Image Clustering [Yonggi Jeong]
Depth Estimation
- Monocular depth estimation [Hyeongwon Kang]
Attribution Methods
- Grad-CAM class activation visualization [Jaehyuk Heo]
- Model interpretability with Integrated Gradients [Jaehyuk Heo]
- Visualizing what convnets learn [Jaehyuk Heo]
Optimizer
- Gradient Centralization for Better Training Performance [Jaehyuk Heo]
Adepter
- Finetuning ViT with LoRA [Jaehyuk Heo]
Generative Models
- Variational AutoEncoder [Jaehyuk Heo]
- DCGAN to generate face images [Hyeongwon Kang]
- Neural style transfer [Subin Kim]
- Deep Dream [Jaehyuk Heo]
- Conditional GAN [Yonggi Jeong]
- CycleGAN [Yonggi Jeong]
- PixelCNN [Jeongseob Kim]
- Density estimation using Real NVP [Jeongseob Kim]
- Non-linear Independent Component Estimation (NICE) [Jeongseob Kim]
- Diffusion generative model(Tutorials) [Jeongseob Kim]
- Diffusion generative model(Examples - Swiss-roll, MNIST, F-MNIST, CELEBA) [Jeongseob Kim]
- Score based generative model(Tutorials) [Jeongseob Kim]
Adversarial Attacks
- Fast Gradient Sign Method [Jaehyuk Heo]
- Projected Gradient Descent [Jaehyuk Heo]
Adversarial Detection
- Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain [Jaehyuk Heo]
Anomaly Detection
- PatchCore: Towards Total Recall in Industrial Anomaly Detection [Jaehyuk Heo]
- MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities [Jaehyuk Heo]
- student-teacher feature pyramid matching for anomaly detection [Hun Im]
- Anomaly Detection via Reverse Distillation from One-Class Embedding [Hun Im]
- Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection [Sunwoo Kim]
- Asymmetric student-teacher networks for industrial anomaly detection [Hun Im]
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation [Woojun Lee]
- Diffusion AD: Denoising Diffusion for Anomaly Detection [Woojun Lee]
Classification
- Text classification with Switch Transformer [Subin Kim]
- Text classification with Transformer [Yookyung Kho]
- Bidirectional LSTM on IMDB [Jeongseob Kim]
Generation
- Text generation with a miniature GPT [Subin Kim]
- Sequence to sequence learning for performing number addition [Yookyung Kho]
- Character-level recurrent sequence-to-sequence model [Jeongseob Kim]
- English-to-Spanish translation with a sequence-to-sequence Transformer [Yookyung Kho]
- Trusting Your Evidence: Hallucinate Less with Context-aware Decoding [Seonghee Hong]
Question Answering
- Question Answering with Hugging Face Transformers [Yookyung Kho]
- Text Extraction with BERT [Jaehyuk Heo]
Pretrained Language Model
- End-to-end Masked Language Modeling with BERT [Subin Kim]
- Pre-training Table-specific Language Model with Huggingface TapasForMaskedLM [Yookyung Kho]
Named Entity Recognition
- Named Entity Recognition using Transformers [Subin Kim]
Natural Language Inference
- Semantic Similarity with BERT [Jaehyuk Heo]
Style Transfer
Tutorial
- TorchText introduction [Jeongseob Kim]
Classification
- Classification with Gated Residual and Variable Selection Networks [Hyeongwon Kang]
- Structured data learning with TabTransformer [Hyeongwon Kang]
Recommendation
- Collaborative Filtering for Movie Recommendations [Hyeongwon Kang]
- A Transformer-based recommendation system [Hyeongwon Kang]
Anomaly Detection
Anomaly Detection
- Timeseries anomaly detection using an Autoencoder [Hyeongwon Kang]
Classification
- Timeseries classification with a Transformer model [Hyeongwon Kang]
Forecasting
- Timeseries forecasting for weather prediction [Hyeongwon Kang]
Representation
- Timeseries Representation Learning with Masked Modeling [Jinwoo Park]
- Timeseries Representation Learning with LLM [Jinwoo Park]
- Actor Critic Method [Hyeongwon Kang]
- Deep Deterministic Policy Gradient (DDPG) [Hyeongwon Kang]
- Deep Q-Learning for Atari Breakout [Hyeongwon Kang]
- Proximal Policy Optimization [Hyeongwon Kang]
Recognition
- Speaker Recognition [Subin Kim]
Vision-Langauge
- Multimodal Entailment [Yookyung Kho]
- Natural language image search with a Dual Encoder [Subin Kim]
- Distributions_TFP_Pyro [Jeongseob Kim]
- GMM_Implementation [Saeran Park]
- Huggingface Accelerator [Jaehyuk Heo]
- Automatic Mixed Precision [Jaehyuk Heo]
- Gradient Accumulation [Jaehyuk Heo]
- Distributed Data Parallel [Jaehyuk Heo]
- config setting [Jaehyuk Heo]
WooJun Lee (2023.2 ~ ) |
Kiyoon Jeong (2023.2 ~ ) |
MinJeong Ma (2023.8 ~ ) |
Woongchan Nam (2023.8 ~ ) |
---|---|---|---|
![]() |
![]() |
![]() |
![]() |
Github | Github | Github | Github |
Imhun (2022.8 ~ ) |
Jinwoo (2022.8 ~ ) |
SeongHee (2022.8 ~ ) |
SaeRan (2022.7 ~ 2023.7) |
---|---|---|---|
![]() |
![]() |
![]() |
![]() |
Github | Github | Github | Github |
Jaehyuk (2021.3 ~ ) |
Sunwoo (2022.5 ~ 2023.6) |
Jeongsub (2021.3 ~ 2022.12) |
Suzie (2022.5 ~ 2022.11) |
---|---|---|---|
![]() |
![]() |
![]() |
|
Github | Github | Github | Github |
Yookyung (2021.10 ~ 2022.7) |
Yonggi (2021.10 ~ 2022.3) |
Hyeongwon (2021.3 ~ 2022.3) |
Subin (2021.3 ~ 2022.2) |
---|---|---|---|
![]() |
![]() |
![]() |
|
Github | Github | Github | Github |