Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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PytorchnlpbookCode and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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GeomstatsComputations and statistics on manifolds with geometric structures.
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Py Style Transfer🎨 Artistic neural style transfer with tweaks (pytorch).
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YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
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Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
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PytorchPyTorch tutorials A to Z
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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
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IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
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EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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AugmentorImage augmentation library in Python for machine learning.
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Deep Learning For HackersMachine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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A Nice McCode for "A-NICE-MC: Adversarial Training for MCMC"
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Pytorch RlTutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
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Awesome Ai Ml DlAwesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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Traffic Sign ClassifierUdacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
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Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
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Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
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Keras Pytorch Avp Transfer LearningWe pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
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Pytorch TutorialPyTorch Tutorial for Deep Learning Researchers
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LovaszsoftmaxCode for the Lovász-Softmax loss (CVPR 2018)
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Vitechtuyển chọn các tài liệu về công nghệ bằng tiếng Việt
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Math And Ml NotesBooks, papers and links to latest research in ML/AI
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Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
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Knet.jlKoç University deep learning framework.
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Neural Networksbrief introduction to Python for neural networks
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MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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Neural TangentsFast and Easy Infinite Neural Networks in Python
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Pytorch Model ZooA collection of deep learning models implemented in PyTorch
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Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
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AutoencodersImplementation of simple autoencoders networks with Keras
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