Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Text_classification | 7,628 | 7 months ago | 45 | mit | Python | |||||
all kinds of text classification models and more with deep learning | ||||||||||
Awesome Speech Recognition Speech Synthesis Papers | 2,848 | 6 months ago | 2 | mit | ||||||
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC) | ||||||||||
Textclassifier | 1,003 | 3 years ago | 29 | apache-2.0 | Python | |||||
Text classifier for Hierarchical Attention Networks for Document Classification | ||||||||||
Eeg Dl | 563 | a year ago | 10 | May 13, 2020 | 4 | mit | Python | |||
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. | ||||||||||
Triplet Attention | 347 | 3 years ago | mit | Jupyter Notebook | ||||||
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021] | ||||||||||
Pytorch Attention | 222 | 3 months ago | 1 | June 17, 2023 | 2 | mit | Python | |||
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥 | ||||||||||
Multihead Siamese Nets | 173 | a year ago | 12 | mit | Jupyter Notebook | |||||
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task. | ||||||||||
Slot_filling_intent_joint_model | 161 | 6 years ago | 4 | Python | ||||||
attention based joint model for intent detection and slot filling | ||||||||||
Chinese Text Classification Pytorch | 156 | 9 months ago | 3 | Python | ||||||
中文文本分类任务,基于PyTorch实现(TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer,Bert,ERNIE),开箱即用! | ||||||||||
Attribute Aware Attention | 124 | 5 years ago | 2 | Python | ||||||
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning |