Deeplearningbook NotesNotes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
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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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Streaming DemosDemos of Plotly's Real-time Streaming API
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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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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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Sound localization algorithmsClassical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
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Clockwork FcnClockwork Convnets for Video Semantic Segmenation
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PrivatemlVarious material around private machine learning, some associated with blog
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RwetNotebooks and other materials for Reading and Writing Electronic Text
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Depth Hints[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
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SaxpySymbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
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Glmm In PythonGeneralized linear mixed-effect model in Python
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Poppy Ergo Jr🤖 Poppy Ergo Jr is an open-source robotic arm based on modular 3D printed conception and low-cost XL-320 motors.
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Nlp estimator tutorialEducational material on using the TensorFlow Estimator framework for text classification
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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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Hep mlMachine Learning for High Energy Physics.
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Ml riskmanagementShort Course - Applied Machine Learning for Risk Management
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Deep ListeningDeep Learning experiments for audio classification
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Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
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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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FastdocCreate publication-quality books from Jupyter notebooks
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Optimization PythonGeneral optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
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DocsMindSpore document
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Ml ClassMachine learning lessons and teaching projects designed for engineers
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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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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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ReadataPython数据分析实战项目汇总~
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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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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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3dmm FittingFit 3DMM to front and side face images simultaneously.
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DataminingnotebooksThis is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
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Python tipsSome Python tips for beginner to intermediate users. Also used as a personal cheat sheet. Featured here https://bit.ly/2ZaV4Pl
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Code With AiInterface for people to use my model which predicts which techniques one should use to solve a competitive programming problem to get an AC
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Bcs workshop apr 20Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
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Laplacians.jlAlgorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
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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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