ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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Neural spEnd-to-end ASR/LM implementation with PyTorch
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Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
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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.
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Performer PytorchAn implementation of Performer, a linear attention-based transformer, in Pytorch
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Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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Tf Rnn AttentionTensorflow implementation of attention mechanism for text classification tasks.
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Pytorch GatMy implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
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WegoWord Embeddings (e.g. Word2Vec) in Go!
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Isab PytorchAn implementation of (Induced) Set Attention Block, from the Set Transformers paper
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Dict2vecDict2vec is a framework to learn word embeddings using lexical dictionaries.
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Lstm attentionattention-based LSTM/Dense implemented by Keras
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SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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Bidaf KerasBidirectional Attention Flow for Machine Comprehension implemented in Keras 2
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StocksightStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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SarcasmdetectionSarcasm detection on tweets using neural network
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Ner Lstm CrfAn easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.
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Learning Social Media Analytics With RThis repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
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FastrtextR wrapper for fastText
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Dialogue UnderstandingThis repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
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Glove As A Tensorflow Embedding LayerTaking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
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Orange3 Text🍊 📄 Text Mining add-on for Orange3
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MimickCode for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
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Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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TiaYour Advanced Twitter stalking tool
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Twitter Sentiment AnalysisThis script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
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TextclfTextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
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Doc2vec📓 Long(er) text representation and classification using Doc2Vec embeddings
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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Lambda NetworksImplementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
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Numpy MlMachine learning, in numpy
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Absa PytorchAspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
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ContextConText v4: Neural networks for text categorization
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Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
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Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
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Hash EmbeddingsPyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
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RSentiment analysis and visualization of real-time tweets using R
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Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
Stars: ✭ 124 (-32.61%)