Glmm In PythonGeneralized linear mixed-effect model in Python
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PrivatemlVarious material around private machine learning, some associated with blog
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Deep LearningThis repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.
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AlgobookA beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
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SaxpySymbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
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Gocnnusing CNN to do move prediction and board evaluation for the board game Go
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RwetNotebooks and other materials for Reading and Writing Electronic Text
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InferpyInferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
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Ghost Free Shadow Removal[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
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MathstatscodeCodes for my mathematical statistics course
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Keras Mnist TutorialFor a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
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Sound localization algorithmsClassical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
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Deeplearningbook NotesNotes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
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Repo 2019BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
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TutorialsDEPRECATED - DO NOT USE
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WaterfallAn easy to use waterfall chart function for Python
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DocsMindSpore document
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Attic ClimateMirror of Apache Open Climate Workbench
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BreakthroughUC Berkeley's software and documentation for Breakthrough Listen data
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Deep ListeningDeep Learning experiments for audio classification
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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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Hep mlMachine Learning for High Energy Physics.
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Rossmann tsa forecastsTime Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
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Ml ClassMachine learning lessons and teaching projects designed for engineers
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3dmm FittingFit 3DMM to front and side face images simultaneously.
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Ml riskmanagementShort Course - Applied Machine Learning for Risk Management
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Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
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Data Structures Algorithms PythonThis tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
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CausalimpactPython port of CausalImpact R library
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Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
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StldecomposeA Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
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Automatedstocktrading Deepq LearningEvery day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
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Laplacians.jlAlgorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
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Clockwork FcnClockwork Convnets for Video Semantic Segmenation
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