Laplacians.jlAlgorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
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MathstatscodeCodes for my mathematical statistics course
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Streaming DemosDemos of Plotly's Real-time Streaming API
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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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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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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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Keras Mnist TutorialFor a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
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Tf TutorialShort tutorial for TensorFlow, designed to be presented in-person
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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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Part bilinear reidCode for ECCV2018 paper: Part-Aligned Bilinear Representations for Person Re-Identification
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Clockwork FcnClockwork Convnets for Video Semantic Segmenation
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MlMachine Learning Projects and Learning Content
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VentilatorLow-Cost Open Source Ventilator or PAPR
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SaxpySymbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
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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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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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Handwriting SynthesisImplementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850
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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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Depth Hints[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
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Ml riskmanagementShort Course - Applied Machine Learning for Risk Management
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FastdocCreate publication-quality books from Jupyter notebooks
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NotebooksSpeedml Python Notebooks
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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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FourierAn Interactive Introduction to Fourier Transforms
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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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Deep ListeningDeep Learning experiments for audio classification
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Beyond Jupyter🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)
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Dea NotebooksRepository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray
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Keras Yolo2Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
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Ml ClassMachine learning lessons and teaching projects designed for engineers
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Tianchiorgame天池比赛,kaggle等等(Keras/PyTorch实战)
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Ssss"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake
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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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Optimization PythonGeneral optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
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RiptideSimple Training and Deployment of Fast End-to-End Binary Networks
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Hep mlMachine Learning for High Energy Physics.
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ReadataPython数据分析实战项目汇总~
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Deeplearning.aideeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
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Pycon Ds 2018Introduction to Python for Data Science for PyCon 2018
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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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