Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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Russian news corpusRussian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ
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Twitter Sent DnnDeep Neural Network for Sentiment Analysis on Twitter
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Tf Keras SurgeonPruning and other network surgery for trained TF.Keras models.
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Dlpython courseПримеры для курса "Программирование глубоких нейронных сетей на Python"
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Matlab GanMATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
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Awesome Speech EnhancementA tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
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Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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Deepcvendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers
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Linq To Wiki.Net library to access MediaWiki API
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RkdOfficial pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
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Deep Learning In ProductionIn this repository, I will share some useful notes and references about deploying deep learning-based models in production.
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LegislatorInterface to the Comparative Legislators Database
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copyviosA copyright violation detector running on Wikimedia Cloud Services
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Anontweet about anonymous Wikipedia edits from particular IP address ranges
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WikimediaUI-Style-GuideWikimedia Design Style Guide with user interface focus, authored by Wikimedia Foundation Design team.
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SwaeImplementation of the Sliced Wasserstein Autoencoders
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Click2analyze AndroiddevchallengeAn app to analyze the text and fixing the anomaly of the message that deviates from what is standard, normal, or expected. #AndroidDevChallenge
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wikicrushProcessor scripts for Wikipedia dumps to crush them into a dense binary format that is easy to pathfind with.
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Wikipedia ner📖 Labeled examples from wiki dumps in Python
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pywikibot-scriptsOwn pywikibot scripts (for Wikimedia projects)
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NLPnoteGitbook Address: https://app.gitbook.com/@nlpgroup/s/nlpnote/
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Image classification cifar 10Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.
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sent2vecHow to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
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Bidaf KerasBidirectional Attention Flow for Machine Comprehension implemented in Keras 2
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Ml Kws For McuKeyword spotting on Arm Cortex-M Microcontrollers
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Natural-Language-ProcessingContains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
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Tfjs CoreWebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
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small-open-datasetsA collection of automatically-updated, ready-to-use and open-licensed datasets
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Variational AutoencoderVariational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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The Incredible PytorchThe Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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use-cases-of-bertUse-cases of Hugging Face's BERT (e.g. paraphrase generation, unsupervised extractive summarization).
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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easyNLPDo NLP without coding!
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Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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quickwiki🌐 A Google Chrome extension that allows users to preview articles on Wikipedia and other wikis.
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RealityComprehensive data proxy to knowledge about real world
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ChatbotA Deep-Learning multi-purpose chatbot made using Python3
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Lpips PytorchA simple and useful implementation of LPIPS.
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NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
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WikiquizGenerates a quiz for a Wikipedia page using parts of speech and text chunking.
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Mit 6.s094MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
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Knowledge Distillation PytorchA PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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Deep Learning PythonIntro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
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DatascienceIt consists of examples, assignments discussed in data science course taken at algorithmica.
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Self Supervised Relational ReasoningOfficial PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
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Sdtw pytorchImplementation of soft dynamic time warping in pytorch
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