Dive Into Machine LearningDive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
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Aws Data WranglerPandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
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Cape PythonCollaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark
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Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
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Datasist A Python library for easy data analysis, visualization, exploration and modeling
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Jupyter DatatablesJupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.
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Griffon VmGriffon Data Science Virtual Machine
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RadioRadIO is a library for data science research of computed tomography imaging
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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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PandasschemaA validation library for Pandas data frames using user-friendly schemas
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Data Science WgSF Brigade's Data Science Working Group.
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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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2016 Ml ContestMachine learning contest - October 2016 TLE
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DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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Zhihu Spider一个获取知乎用户主页信息的多线程Python爬虫程序。
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Datasets🎁 3,000,000+ Unsplash images made available for research and machine learning
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Machine Learning And Data ScienceThis is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
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PbpythonCode, Notebooks and Examples from Practical Business Python
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ContactposeLarge dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
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CoronawatchnlNumbers concerning COVID-19 disease cases in The Netherlands by RIVM, LCPS, NICE, ECML, and Rijksoverheid.
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NlpaugData augmentation for NLP
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Book This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
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RaspberryturkThe Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
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Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
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ImageprocessingMicaSense RedEdge and Altum image processing tutorials
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LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (-29.35%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
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TextbookPrinciples and Techniques of Data Science, the textbook for Data 100 at UC Berkeley
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Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
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Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
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FinanceHere you can find all the quantitative finance algorithms that I've worked on and refined over the past year!
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DatacompyPandas and Spark DataFrame comparison for humans
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Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
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Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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Project kojakTraining a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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AlphalensPerformance analysis of predictive (alpha) stock factors
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