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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GeomstatsComputations and statistics on manifolds with geometric structures.
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AugmentorImage augmentation library in Python for machine learning.
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Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
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IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
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Tensor SensorThe goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.
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Hands On Nltk TutorialThe hands-on NLTK tutorial for NLP in Python
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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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Sciblog supportSupport content for my blog
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Deeplearning.ai Natural Language Processing SpecializationThis repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
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Bayesian Analysis RecipesA collection of Bayesian data analysis recipes using PyMC3
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Deep Reinforcement LearningRepo for the Deep Reinforcement Learning Nanodegree program
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