https://github.com/ivanwilliammd/I3DR-Net-Transfer-Learning
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Papers with Code 아카이브
General Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Algorithms trying to solve the general task of classification.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ivclab/agegenderLMTCNN
https://github.com/iversonicter/Learn-to-pay-attention
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
https://github.com/j-nowak/covid-19
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jaaack-wang/linguistic-knowledge-in-DA-for-NLP
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/jaara/classification-with-costly-features
Classification with Costly Features as a Sequential Decision-Making Problem
https://github.com/jackaduma/ChatGLM-LoRA-RLHF-PyTorch
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
https://github.com/jackbandy/deep_learning_ulmfit
Universal Language Model Fine-tuning for Text Classification
https://github.com/jackhck/subclass-balancing-contrastive-learning
Decoupling Representation and Classifier for Long-Tailed Recognition
https://github.com/jackyyy0228/Order-free-Learning-Alleviating-Exposure-Bias-in-Multi-label-Classification
Order-free Learning Alleviating Exposure Bias in Multi-label Classification
https://github.com/jacobdeasy/flexible-ehr
Multitask learning and benchmarking with clinical time series data
https://github.com/jacobgil/keras-grad-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jacobgil/pytorch-grad-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jacobgil/pytorch-tensor-decompositions
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
https://github.com/jacobmeisel/EE269_Final_Project
ECG Heartbeat Classification: A Deep Transferable Representation
https://github.com/jadore801120/attention-is-all-you-need-pytorch
https://github.com/jaehwlee/tf2-music-tagging-models
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
https://github.com/jaekyeom/mabas
https://github.com/jaingaurav3/GAN-Hacks
https://github.com/jaketae/res-mlp
ResMLP: Feedforward networks for image classification with data-efficient training
https://github.com/james77777778/keras-image-models
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jamesshao8/cnn-limesdr
https://github.com/jameswang287/Car-Detection
Bag of Tricks for Image Classification with Convolutional Neural Networks
https://github.com/jameszampa/ECE-570-Implementation
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
https://github.com/jameszampa/VIP-SoCET-Benchmark
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
https://github.com/jamilruet13/bangla-english-handwritten-digit-recognition-cnn
https://github.com/janZub-AI/EmotionDetectionVGG
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jangop/entropy-based-adversarials
https://github.com/jangsoopark/AConvNet-pytorch
https://github.com/jannenev/ulmfit-language-model
Universal Language Model Fine-tuning for Text Classification
https://github.com/japicazosuni/TFG_HAR
https://github.com/japlatt/WLC_SVM_Time
Machine Learning Classification Informed by a Functional Biophysical System
https://github.com/jariasf/gmvae
https://github.com/jaron/deep-listening
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
https://github.com/jasonqhuang/Color_CNN
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/jasonshaoshun/SAL
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.