ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (+127.59%)
Mutual labels: text-classification, rnn
automatic-personality-prediction[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
Stars: ✭ 43 (+48.28%)
Mutual labels: text-classification, rnn
Tf Rnn AttentionTensorflow implementation of attention mechanism for text classification tasks.
Stars: ✭ 735 (+2434.48%)
Mutual labels: text-classification, rnn
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+1193.1%)
Mutual labels: text-classification, rnn
Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Stars: ✭ 570 (+1865.52%)
Mutual labels: text-classification, rnn
Eda nlpData augmentation for NLP, presented at EMNLP 2019
Stars: ✭ 902 (+3010.34%)
Mutual labels: text-classification, rnn
Customer-Feedback-AnalysisMulti Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.
Stars: ✭ 18 (-37.93%)
Mutual labels: text-classification, rnn
ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
Stars: ✭ 18 (-37.93%)
Mutual labels: text-classification
Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: ✭ 123 (+324.14%)
Mutual labels: rnn
FNet-pytorchUnofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Stars: ✭ 204 (+603.45%)
Mutual labels: text-classification
Pytorch-NLUPytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…
Stars: ✭ 151 (+420.69%)
Mutual labels: text-classification
SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Stars: ✭ 56 (+93.1%)
Mutual labels: rnn
lstm-electric-load-forecastElectric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
Stars: ✭ 56 (+93.1%)
Mutual labels: rnn
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (-10.34%)
Mutual labels: rnn
modulesThe official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.
Stars: ✭ 25 (-13.79%)
Mutual labels: rnn
ml-with-text[Tutorial] Demystifying Natural Language Processing with Python
Stars: ✭ 18 (-37.93%)
Mutual labels: text-classification
ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Stars: ✭ 60 (+106.9%)
Mutual labels: text-classification
