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Description: DSBA code study. Contribute to DSBA-Lab/CodeLab development by creating an account on GitHub.

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Time-Serieshttps://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#time-series
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https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#computer-vision
Balanced Softmax for classificationhttps://github.com/TooTouch/BalancedSoftmax
Visual Prompt Tuninghttps://github.com/TooTouch/VPT
Model Souphttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Model_Soup
Point cloud classification with PointNethttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Point_cloud_classification/Point_cloud_classification.ipynb
Involutional neural networkshttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Involutional%20neural%20networks/Involutional%20neural%20networks.ipynb
Image classification with Vision Transformerhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Image_classification_with_Vision_Transformer/Image%20classification%20with%20Vision%20Transformer.ipynb
Video Classification with Transformershttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Video_Classification_with_Transformers/Video_Classification_with_Transformers.ipynb
Video Vision Transformerhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Video_Classification_with_Transformers/ViViT.ipynb
Semi-supervised image classification using contrastive pretraining with SimCLRhttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Semi-supervised%20image%20classification%20using%20contrastive%20pretraining%20with%20SimCLR
Self-supervised contrastive learning with SimSiamhttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Self-supervised_contrastive_learning_with_SimSiam
Supervised Contrastive Learninghttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Supervised_contrastive_learning/supervised_contrastive_learning.ipynb
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representationshttps://github.com/crimama/k2k_NNCLR/blob/main/README.md
Convolutional autoencoder for image denoisinghttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Convolutional%20autoencoder%20for%20image%20denoising
Point cloud segmentation with PointNethttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Point_cloud_segmentation_with_PointNet/Point_cloud_segmentation_with_PointNet.ipynb
Image segmentation with a U-Net-like architecturehttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Image_Segmentation_Unet_Xception/%5BKJS%5DImage%20segmentation%20with%20a%20U-Net-like%20architecture(torch).ipynb
Object Detection with RetinaNethttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Object_Detection_with_RetinaNet
Knowledge Distillationhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Knowledge_Distillation/Knowledge%20Distillation%20HJH.ipynb
Metric learning for image similarity searchhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Metric_Learning_for_Image_Similarity_Search/Metric%20learning%20for%20image%20similarity%20search%20HJH.ipynb
Image similarity estimation using a Siamese Network with a triplet losshttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Triplet_loss/triplet_loss.ipynb
OCR model for reading Captchashttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/OCR_model_for_reading_Captchas/captcha_ocr_KSB.ipynb
RandAugment for Image Classification for Improved Robustnesshttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Augmentation/RandAugment/RandAugment.ipynb
CutMix data augmentation for image classificationhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Augmentation/CutMix%20data%20augmentation%20for%20image%20classification.ipynb
Semantic Image Clusteringhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Semantic_Image_Clustering/image_clustering.ipynb
Monocular depth estimationhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Monocular_depth_estimation/Monocular_depth_estimation.ipynb
Grad-CAM class activation visualizationhttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Grad-CAM_class_activation_visualization/Grad-CAM%20class%20activation%20visualization%20HJH.ipynb
Model interpretability with Integrated Gradientshttps://github.com/hwk0702/keras2torch/blob/main/Computer_Vision/Model_Interpretability_with_Integrated_Gradients/Model%20interpretability%20with%20Integrated%20Gradients.ipynb
Visualizing what convnets learnhttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Visualizing_what_convnets_learn
Gradient Centralization for Better Training Performancehttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Gradient_Centralization_for_Better_Training_Performance
Finetuning ViT with LoRAhttps://github.com/hwk0702/keras2torch/tree/main/Computer_Vision/Finetuning_ViT_with_LoRA
Variational AutoEncoderhttps://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/Variational_AutoEncoder
DCGAN to generate face imageshttps://github.com/hwk0702/keras2torch/blob/main/Generative_Deep_Learning/DCGAN_to_generate_face_images/DCGAN_to_generate_face_images.ipynb
Neural style transferhttps://github.com/hwk0702/keras2torch/blob/main/Generative_Deep_Learning/Neural_style_transfer/Neural_style_transfer.ipynb
Deep Dreamhttps://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/Deep_Dream
Conditional GANhttps://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/Conditional_GAN
CycleGANhttps://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/CycleGAN
PixelCNNhttps://github.com/hwk0702/keras2torch/blob/main/Generative_Deep_Learning/PixclCNN/pixelcnn.ipynb
Density estimation using Real NVPhttps://github.com/hwk0702/keras2torch/blob/main/Generative_Deep_Learning/Normalizing-Flow/RNVP/real-nvp-pytorch.ipynb
Non-linear Independent Component Estimation (NICE)https://github.com/hwk0702/keras2torch/blob/main/Generative_Deep_Learning/Normalizing-Flow/NICE/NICE_codes.ipynb
Diffusion generative model(Tutorials)https://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/Score_Diffusion/Tutorial
Diffusion generative model(Examples - Swiss-roll, MNIST, F-MNIST, CELEBA)https://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/Score_Diffusion/Diffusion
Score based generative model(Tutorials)https://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/Score_Diffusion/Tutorial
Fast Gradient Sign Methodhttps://github.com/hwk0702/keras2torch/tree/main/Adversarial_Attack/Fast_Gradient_Sign_Method
Projected Gradient Descenthttps://github.com/hwk0702/keras2torch/tree/main/Adversarial_Attack/Projected_Gradient_Descent
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domainhttps://github.com/TooTouch/SID
PatchCore: Towards Total Recall in Industrial Anomaly Detectionhttps://github.com/hwk0702/keras2torch/tree/main/Anomaly_Detection/PatchCore
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalitieshttps://github.com/TooTouch/MemSeg
student-teacher feature pyramid matching for anomaly detectionhttps://github.com/crimama/STPM
Anomaly Detection via Reverse Distillation from One-Class Embeddinghttps://github.com/crimama/Reversedistillation
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detectionhttps://github.com/SunwooKimstar/SCADN_practice.git
Asymmetric student-teacher networks for industrial anomaly detectionhttps://github.com/crimama/AST
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentationhttps://github.com/johnbuzz98/PANDA
Diffusion AD: Denoising Diffusion for Anomaly Detectionhttps://github.com/johnbuzz98/DiffusionAD_Unofficial
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#natural-language-processing
Text classification with Switch Transformerhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Text%20classification%20with%20Switch%20Transformer/text_classification_with_switch_transformer.ipynb
Text classification with Transformerhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Text_Classification_with_Transformers/text_classification_with_transformers_KYK.ipynb
Bidirectional LSTM on IMDBhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Bidirectional_LSTM_on_IMDB/Text_classification_with_bi-LSTM_KJS.ipynb
Text generation with a miniature GPThttps://github.com/hwk0702/keras2torch/blob/main/Generative_Deep_Learning/Text_generation_with_a_miniauture_GPT/Text_generation_with_a_miniauture_GPT_KSB.ipynb
Sequence to sequence learning for performing number additionhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Seq2seq_Number_Addition/seq2seq_number_addition_KYK.ipynb
Character-level recurrent sequence-to-sequence modelhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Character-level_recurrent_sequence-to-sequence_model/Character_level_Machine_translator_with_seq2seq_KJS_3.ipynb
English-to-Spanish translation with a sequence-to-sequence Transformerhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Machine_Translation_via_seq2seq_Transformer/spn2eng_Translation_via_seq2seq_Transformer_KYK.ipynb
Trusting Your Evidence: Hallucinate Less with Context-aware Decodinghttps://github.com/hongshi97/CAD
Question Answering with Hugging Face Transformershttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Question_Answering_Huggingface/QA_huggingface_KYK.ipynb
Text Extraction with BERThttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Text_Extraction_with_BERT/Text_Extraction_with_BERT_HJH.ipynb
End-to-end Masked Language Modeling with BERThttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/End-to-end_Masked_Language_Modeling_with_BERT/mlm_and_finetune_with_bert_KSB.ipynb
Pre-training Table-specific Language Model with Huggingface TapasForMaskedLMhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Table_pretraining_with_TAPAS/Table_Pretraining_with_TapasForMaskedLM_KYK.ipynb
Named Entity Recognition using Transformershttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Named_Entity_Recognition%20using_Transformers/NER_using_Transformers_KSB.ipynb
Semantic Similarity with BERThttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Semantic_Similarity_with_BERT/Semantic_Similarity_with_BERT_HJH.ipynb
Unsupervised Text Style Transfer with Padded Masked Language Modelshttps://github.com/whatsbirddd/Unsupervised-Text-Style-Transfer-with-Padded-Masked-Language-Models
TorchText introductionhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Extra/TorchText_introduction_KJS.ipynb
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#tabular-data
Classification with Gated Residual and Variable Selection Networkshttps://github.com/hwk0702/keras2torch/tree/main/Structured_Data/Classification_with_Gated_Residual_and_Variable_Selection_Networks
Structured data learning with TabTransformerhttps://github.com/hwk0702/keras2torch/tree/main/Structured_Data/Structured_data_learning_with_TabTransformer
Collaborative Filtering for Movie Recommendationshttps://github.com/hwk0702/keras2torch/blob/main/Structured_Data/Collaborative_Filtering_for_Movie_Recommendations/Collaborative_Filtering_for_Movie_Recommendations.ipynb
A Transformer-based recommendation systemhttps://github.com/hwk0702/keras2torch/blob/main/Structured_Data/Collaborative_Filtering_for_Movie_Recommendations/Collaborative_Filtering_for_Movie_Recommendations.ipynb
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detectionhttps://github.com/SunwooKimstar/DAGMM.git
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#time-series
Timeseries anomaly detection using an Autoencoderhttps://github.com/hwk0702/keras2torch/blob/main/Timeseries/Timeseries_anomaly_detection_using_an_Autoencoder/Timeseries_anomaly_detection_using_an_Autoencoder.ipynb
Timeseries classification with a Transformer modelhttps://github.com/hwk0702/keras2torch/blob/main/Timeseries/Timeseries_classification_with_a_Transformer_model/Timeseries_classification_with_a_Transformer_model.ipynb
Timeseries forecasting for weather predictionhttps://github.com/hwk0702/keras2torch/tree/main/Timeseries/Timeseries_forecasting_for_weather_prediction
Timeseries Representation Learning with Masked Modelinghttps://github.com/JINU6497/Time-series-representation
Timeseries Representation Learning with LLMhttps://github.com/JINU6497/Time-series-LLM
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#reinforcement-learning
Actor Critic Methodhttps://github.com/hwk0702/keras2torch/blob/main/Reinforcement_Learning/Actor_Critic_Method/Actor_Critic_Method_KHW.ipynb
Deep Deterministic Policy Gradient (DDPG)https://github.com/hwk0702/keras2torch/blob/main/Reinforcement_Learning/DDPG/DDPG.ipynb
Deep Q-Learning for Atari Breakouthttps://github.com/hwk0702/keras2torch/blob/main/Reinforcement_Learning/Deep_Q_Learning_for_Atari_Breakout/Deep_Q_Learning_for_Atari_Breakout_KHW.ipynb
Proximal Policy Optimizationhttps://github.com/hwk0702/keras2torch/blob/main/Reinforcement_Learning/Proximal_Policy_Optimization/Proximal_Policy_Optimization.ipynb
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#audio-data
Speaker Recognitionhttps://github.com/hwk0702/keras2torch/blob/main/Audio_Data/Speaker%20Recognition.ipynb
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#multi-modality
Multimodal Entailmenthttps://github.com/yookyungkho/Multimodal-Entailment-pytorch
Natural language image search with a Dual Encoderhttps://github.com/hwk0702/keras2torch/blob/main/Natural_Language_Processing/Natural_language_image%20search_with_a_Dual_Encoder/nl_image_search_KSB.ipynb
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#active-learning
Uncertainty Sampling - Least Confidence, Margin Sampling, Entropy Samplinghttps://github.com/TooTouch/Active_Learning-Uncertainty_Sampling
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#extra
Distributions_TFP_Pyrohttps://github.com/hwk0702/keras2torch/tree/main/Generative_Deep_Learning/Normalizing-Flow/Framework_practice/Distributions_TFP_Pyro
GMM_Implementationhttps://github.com/whatsbirddd/pytorch-practice/blob/main/gmm.ipynb
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#pytorch-accelerator
Huggingface Acceleratorhttps://github.com/TooTouch/Pytorch-Accelerator-Test
Automatic Mixed Precisionhttps://github.com/hwk0702/keras2torch/tree/main/Pytorch-Accelerator/AMP
Gradient Accumulationhttps://github.com/hwk0702/keras2torch/tree/main/Pytorch-Accelerator/gradient_accumulation
Distributed Data Parallelhttps://github.com/hwk0702/keras2torch/tree/main/Pytorch-Accelerator/DDP
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#for-experiments
config settinghttps://github.com/TooTouch/config-setting
https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#members
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Readme https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#readme-ov-file
MIT license https://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab#MIT-1-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab
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Please reload this pagehttps://patch-diff.githubusercontent.com/DSBA-Lab/CodeLab
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