Learn Machine Learning In Two MonthsNhững kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
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TutorialsDEPRECATED - DO NOT USE
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Sound localization algorithmsClassical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
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Cloud DataprocCloud Dataproc: Samples and Utils
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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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Download Celeba HqPython script to download the celebA-HQ dataset from google drive
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CitylearnOfficial reinforcement learning environment for demand response and load shaping
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Nlp estimator tutorialEducational material on using the TensorFlow Estimator framework for text classification
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RwetNotebooks and other materials for Reading and Writing Electronic Text
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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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Gocnnusing CNN to do move prediction and board evaluation for the board game Go
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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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One Network Many UsesFour-in-one deep network: image search, image captioning, similar words and similar images using a single model
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InferpyInferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
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PrivatemlVarious material around private machine learning, some associated with blog
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Glmm In PythonGeneralized linear mixed-effect model in Python
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MltutorialMachine Learning Tutorial in IPython Notebooks
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Siamese netThis package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.
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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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Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
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3dmm FittingFit 3DMM to front and side face images simultaneously.
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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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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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Hep mlMachine Learning for High Energy Physics.
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StldecomposeA Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
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DocsMindSpore document
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WaterfallAn easy to use waterfall chart function for Python
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Ml riskmanagementShort Course - Applied Machine Learning for Risk Management
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Slides Scipyconf 2018A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
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Attic ClimateMirror of Apache Open Climate Workbench
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Mml CompanionThis is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.
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BreakthroughUC Berkeley's software and documentation for Breakthrough Listen data
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Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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SaxpySymbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
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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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Ghost Free Shadow Removal[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
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Deeplearningbook NotesNotes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
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