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Computer Science

7,622 items in 38 lists

  1. k-nearest neighbor en.wikipedia.org

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  2. Decision Trees en.wikipedia.org

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  3. Boosting en.wikipedia.org

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  4. AdaBoost en.wikipedia.org

    , Python Code

  5. dygraphs dygraphs.com

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  6. Prompt Engineering for Vision Models deeplearning.ai

    Learn to prompt cutting-edge computer vision models with natural language, coordinate points, bounding boxes, segmentation masks, and even other images in this free course from DeepLearning.AI.

  7. Clare Corthell datasciencemasters.org

    The Open Source Data Science Masters

  8. Data School dataschool.io

    Data science tutorials for beginners!

  9. Data Engineering Podcast dataengineeringpodcast.com

    The show about modern data infrastructure.

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  10. DataDriven - SQL, Python, and Data Modeling Interview Questions datadriven.io

    Interview practice with SQL query execution, Python, and data modeling exercises.

  11. DataFramed datacamp.com

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  12. World Bank Data data.worldbank.org

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  13. undata data.un.org

    Data from the UN

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  14. NASDAQ:DATA data.nasdaq.com

    Nasdaq Data Link A premier source for financial, economic and alternative datasets.

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  15. Weights & Biases wandb.com

    Experiment tracking, model optimization, and dataset versioning.

  16. VLFeat vlfeat.org

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  17. graphlab-create turi.com

    A machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale.

  18. Chroma trychroma.com

    open-source embedding database for AI applications.

  19. SimpleCV simplecv.org

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  20. scikit-learn scikit-learn.org

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  21. Samoa samoa.incubator.apache.org

    distributed streaming machine learning framework.

  22. QuiddityML quiddityml.com

    Short lessons with hands-on coding exercises and spaced repetition, covering Python, PyTorch, math for ML, ML foundations, NLP, and computer vision.

  23. Qdrant qdrant.tech

    vector database and similarity search engine with REST, gRPC, and client SDKs.

  24. Pinecone pinecone.io

  25. Phoenix phoenix.arize.com

    Open-source tool for ML observability that runs in your notebook environment, by Arize. Monitor and fine tune LLM, CV and tabular models.

  26. Pandas pandas.pydata.org

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

  27. OpenCV opencv.org

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  28. NLTK nltk.org

    The most complete platform for building Python programs to work with human language data.

  29. Stanford POS Tagger nlp.stanford.edu

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  30. Netron netron.app

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  31. Model Zoo modelzoo.co

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  32. mlpack mlpack.org

  33. Machine Learning Bookcamp manning.com

    A project-based introduction to building and deploying machine learning systems by Alexey Grigorev.

  34. Clever Algorithms For Machine Learning machinelearningmastery.com

    about helping professional programmers confidently apply machine learning algorithms to address complex problems.

  35. mexopencv kyamagu.github.io

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  36. igraph igraph.org

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  37. igraph igraph.org

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  38. guild.ai guild.ai

    Task runner and package manager for TensorFlow

  39. Speedster github.com

    Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware.

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  40. Apache cTAKES ctakes.apache.org

    paper - code - A system for processing the text in electronic medical records. Widely used and open source.

  41. Weka cs.waikato.ac.nz

    suite of machine learning software.

  42. CodeFlash.AI codeflash.ai

    Ship Blazing-Fast Python Code — Every Time.

  43. CatalyzeX chrome.google.com

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  44. Amazon AWS aws.amazon.com

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  45. Coursera Natural Language Processing Specialization coursera.org

    Teaches how to use machine learning to understand and manipulate human language. It requires a working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & statistics.

  46. Coursera Deep Learning Specialization coursera.org

    New series of 5 Deep Learning courses by Andrew Ng, now with Python rather than Matlab/Octave, and which leads to a specialization certificate.

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