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Emotion Recognition

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하위 태스크: 12
평가표: 10
보존된 평가 기록: 18

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/JetBrains-Research/python-ml-type-hints

Typilus: Neural Type Hints

https://github.com/JiachuanDENG/CNN-Textual-RegressionModel-for-commodity-price-prediction

Convolutional Neural Networks for Sentence Classification

https://github.com/JiachuanDENG/Pytorch-CNN-Textual-RegressionModel-for-commodity-price-prediction

Convolutional Neural Networks for Sentence Classification

https://github.com/JimmyChame/The-State-of-the-Art-in-HDR-Deghosting

Attention-guided Network for Ghost-free High Dynamic Range Imaging

https://github.com/JoGo175/diffuse-treevae

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

https://github.com/JohannLee1996/bert

Attention Is All You Need

https://github.com/Johnnylyu/Text-Mining-and-Classification-for-Attain

Convolutional Neural Networks for Sentence Classification

https://github.com/JonasRSV/DDPG

Continuous control with deep reinforcement learning

https://github.com/JonasRSV/PGTensorflow

Continuous control with deep reinforcement learning

https://github.com/JonasRSV/PPO

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/JorgeA-RD/Reinforcement-Learning-Agents/tree/main/DDPG

Continuous control with deep reinforcement learning

https://github.com/Joshuaoneheart/Fintech-Final-Report

Attention Is All You Need

https://github.com/JuliaSymbolics/Symbolics.jl

High-performance symbolic-numerics via multiple dispatch

https://github.com/JulienDesvergnes/human-reinforcement-learning

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces

https://github.com/Jun-Zhang-32108/Sentiment-Analysis

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/JunwenBai/AgileFD

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

https://github.com/JunzheJosephZhu/Multi-Decoder-DPRNN

Multi-Decoder DPRNN: High Accuracy Source Counting and Separation

https://github.com/Justin-Tan/high-fidelity-generative-compression

High-Fidelity Generative Image Compression

https://github.com/Jverma/cnn-text-classification-keras

Convolutional Neural Networks for Sentence Classification

https://github.com/KAIST-AILab/deeprl_practice_colab

Continuous control with deep reinforcement learning

https://github.com/KangchengLiu/FAC_Foreground_Aware_Contrast

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

https://github.com/KangchengLiu/RM3D

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

https://github.com/Kanishkparganiha/Named-Entity-Recognition-using-BERT-with-PyTorch

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/Karthik-Bhaskar/Context-Based-Question-Answering

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/KarthikGangadhar/depth-estimation

High Quality Monocular Depth Estimation via Transfer Learning

https://github.com/Katsumata420/bert_mlm

Attention Is All You Need

https://github.com/KbeautyHair/BaselineModel

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/KeithGalli/pycon2020

Attention Is All You Need

https://github.com/KelvinYang0320/deepbots-panda

Continuous control with deep reinforcement learning

https://github.com/Kerram/Deephol-Bert-Zpp

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/Kevin-Vora/bert-embedding-gluonnlp-edit-

Attention Is All You Need

https://github.com/Khalid-Jamal/annotated-transformer-Arabic

Attention Is All You Need

https://github.com/Kikumu/Reinforcement-Learning-repo

Continuous control with deep reinforcement learning

https://github.com/Kim-inhwan/Word2vec-CNN-for-classfication

Convolutional Neural Networks for Sentence Classification

https://github.com/Kinetikm/fastTextRelearning

Bag of Tricks for Efficient Text Classification

https://github.com/Kinetikm/fasttextRelearnExperiment

Bag of Tricks for Efficient Text Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.