Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
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SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
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Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
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Deep learning nlpKeras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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ExperimentsSome research experiments
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Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
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DebiasweRemove problematic gender bias from word embeddings.
Stars: ✭ 175 (+96.63%)
watchmanWatchman: An open-source social-media event-detection system
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ServenetService Classification based on Service Description
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GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
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Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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AravecAraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
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Word2vec Russian NovelsInspired by word2vec-pride-vis the replacement of words of Russian most valuable novels text with closest word2vec model words. By Boris Orekhov
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Log Anomaly DetectorLog Anomaly Detection - Machine learning to detect abnormal events logs
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Word2vec訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.
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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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Spark Nlp ModelsModels and Pipelines for the Spark NLP library
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Ipython NotebooksThis repository contains IPython notebooks that I have written.
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Fcos tensorflowFCOS: Fully Convolutional One-Stage Object Detection.
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BerkeleyThe Hacker Within at the University of California - Berkeley
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SamplevaeMulti-purpose tool for sound design and music production implemented in TensorFlow.
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Deprecated Boot CampsDEPRECATED: please see individual lesson repositories for current material.
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XpediteA non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems
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Game Theory And PythonGame Theory and Python, a workshop investigating repeated games using the prisoner's dilemma
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CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
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Basketball analyticsRepository which contains various scripts and work with various basketball statistics
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PytorchPyTorch tutorials A to Z
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Cc6205Natural Language Processing
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Wine Deep LearningExploring applications of deep learning to the world of wine
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Simple Qa Emnlp 2018Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"
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Curso data scienceCódigo para el curso "Aprende Data Science y Machine Learning con Python"
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Few Shot Text ClassificationCode for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop
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Lstm chemImplementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
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Spotify Recsys ChallengeA complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.
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Airbnb Dynamic Pricing Optimization[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
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Fairness In MlThis repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
Stars: ✭ 88 (-1.12%)