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https://github.com/jamesonl/awesome-list-of-lists

A public collection of all the amazing lists I've come across on github (or elsewhere).
https://github.com/jamesonl/awesome-list-of-lists

List: awesome-list-of-lists

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A public collection of all the amazing lists I've come across on github (or elsewhere).

Awesome Lists containing this project

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# awesome-list-of-lists
A public collection of all the amazing lists I've come across on github (or elsewhere).

## Blogs I Follow:
- [DS Lore](http://nadbordrozd.github.io/blog/2016/05/22/one-weird-trick-that-will-fix-your-pyspark-schemas/)
- [Patrick Collison](https://patrickcollison.com/)

## Aviation / Aerospace:
- [Zephyr](https://en.wikipedia.org/wiki/Airbus_Zephyr)

## What to hire for:
- [SysAdmin](https://github.com/kahun/awesome-sysadmin)
- [Data Pipelines](https://github.com/pditommaso/awesome-pipeline)
- [Security](https://github.com/sbilly/awesome-security)
- [Microservices](https://github.com/mfornos/awesome-microservices)

- **API Design:**
- [Flask](https://github.com/humiaozuzu/awesome-flask)

- **Languages:**
- [Python](https://github.com/vinta/awesome-python)
- [Algorithm Design (all languages)](https://github.com/tayllan/awesome-algorithms)
- [R](https://github.com/qinwf/awesome-R)
- [Spark](https://github.com/awesome-spark/awesome-spark)
- [Learning Materials from Databricks](https://databricks.com/training/instructor-led-training/courses/apache-spark-programming#)
- There appears to be a lot of missing content... but there are also courses that can be registered for.
- Alternatively, you can sign up for a free account for recreational use in order to demo using Spark resources.
- [Mllib](https://github.com/Azure/mmlspark)
- [Spark Best Practices](https://github.com/ericxiao251/spark-syntax)
- [My Spark Notes](https://github.com/jamesonl/awesome-list-of-lists/blob/master/PySpark.md)
- [Protégé - An Ontology Modeling Language](https://protege.stanford.edu/)
- [Cellfie Plugin](https://github.com/protegeproject/cellfie-plugin/wiki/Grocery-Tutorial) - A Protégé Desktop plugin for importing spreadsheet data into OWL ontologies.
- Spoken Languages:
- Methods:
- [Pimsleur Method](http://www.pimsleurmethod.com/pimsleur-english.html) - This method is based off of two governing language acquisition principles: [**Graduated Interval Recall** and **Principle of Anticipation**](http://www.pimsleurmethod.com/)

- **Data Science:**
- [Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)
- [Sparse Matrices for Machine Learning & Regression Problems](https://dziganto.github.io/Sparse-Matrices-For-Efficient-Machine-Learning/)
- [Tensorflow](https://github.com/jtoy/awesome-tensorflow)
- [Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning)
- [Deep Learning Papers](https://github.com/terryum/awesome-deep-learning-papers)
- [Natural Language Processing](https://github.com/keon/awesome-nlp)
- [Machine Learning Interpretability](https://christophm.github.io/interpretable-ml-book/translations.html)
- [Understanding Black-Box Predictions via Influence Functions](http://proceedings.mlr.press/v70/koh17a/koh17a.pdf)
- [Explanation of Prediction Models with ExplainPrediction](https://www.researchgate.net/publication/324795496_Explanation_of_prediction_models_with_explain_prediction)
- [Explanation: Theoretical Approaches and Applications](https://philpapers.org/rec/LIPCEA)

- **Front End:**
- [React](https://github.com/enaqx/awesome-react)
- [Electron](https://github.com/sindresorhus/awesome-electron)

- **Big Data:**
- [Applications, Services, and Frameworks](https://github.com/onurakpolat/awesome-bigdata)
- [Scala](https://github.com/lauris/awesome-scala)

- **Utilities:**
- [Command Line](https://github.com/herrbischoff/awesome-macos-command-line)
- [docopt](http://docopt.org/)

-----------------------------------------------------------------------------------------------------------------------

## Skills:
- [Hacking](https://github.com/Hack-with-Github/Awesome-Hacking)
- [Self-Hosting](https://github.com/awesome-selfhosted/awesome-selfhosted)
- [Scalability](https://github.com/binhnguyennus/awesome-scalability)
- [Interviewing](https://github.com/MaximAbramchuck/awesome-interview-questions)

## Assets:
- [Public Datasets](https://github.com/awesomedata/awesome-public-datasets)
- [Podcasts](https://github.com/rShetty/awesome-podcasts)
- **[Amazon Web Services (AWS)](https://github.com/donnemartin/awesome-aws)**
- [Python AWS SDK](https://github.com/boto/boto3)

## Innovation:
- [Participative Decision-Making](https://en.wikipedia.org/wiki/Participative_decision-making#Autocratic)
- Comes with great models to facilitate decision making, as well as a section on **foresight**
- [Playbook for Strategic Foresight and Innovation](https://www.thegeniusworks.com/wp-content/uploads/2016/01/Playbook-for-Strategic-Foresight-and-Innovation-A4.pdf)
- [Francis Bacon | of Innovations](http://www.authorama.com/essays-of-francis-bacon-25.html)
- [Private Equity vs. Private Ownership](https://www.exponential-e.com/images/whitepaper/Private-Equity-v-Private-Ownership)
- [Air Force Lean Logistics](https://www.rand.org/content/dam/rand/pubs/monograph_reports/2007/MR458.pdf)

## Marketplaces:
- Github Marketplace
- [Making an app on the Github Marketplace](https://developer.github.com/apps/quickstart-guides/using-the-github-api-in-your-app/)
- Slack Marketplace
- [Writing a Slack bot](https://medium.com/slack-developer-blog/build-a-serverless-slack-bot-in-9-minutes-with-node-js-and-stdlib-b993cfa15358)
- [Bot resources](https://slack.com/help/articles/115005265703-create-a-bot-for-your-workspace)
- [Zapier Tutorial](https://zapier.com/blog/how-to-build-chat-bot/)
- Zoom Marketplace
- [Zoom App Creation](https://marketplace.zoom.us/develop/create)
- [Stripe Marketplace](https://stripe.com/partners/apps-and-extensions)
- [Shopify Marketplace](https://apps.shopify.com/)
- [Square Marketplace](https://squareup.com/us/en/app-marketplace)
- [Google G-Suite Marketplace](https://gsuite.google.com/marketplace/)

## Interesting Company Design
- [Overcast.fm](https://overcast.fm)
- [List of Successful One Person Startups](https://smallbiztrends.com/2014/07/successful-one-person-startups.html)
- _(More Broadly)_ [List of Employee-Owned Companies](https://en.wikipedia.org/wiki/List_of_employee-owned_companies)
- [Some businesses choose not to grow](https://boss.blogs.nytimes.com/2012/11/01/some-businesses-choose-not-to-grow/)
- [Art of Running a Small Business: Wrestling with Expansion Plans](https://boss.blogs.nytimes.com/2012/11/01/wrestling-with-expansion-plans/?mtrref=boss.blogs.nytimes.com&gwh=501447D9A72014910F213393ED147BB2&gwt=pay&assetType=REGIWALL)
- [A Business Group Discusses Progress](https://boss.blogs.nytimes.com/2012/09/04/after-a-year-business-group-members-discuss-their-progress/?mtrref=boss.blogs.nytimes.com&gwh=953AC4F729F0DE671127E0220B9696C3&gwt=pay&assetType=REGIWALL)
- [Wikipedia: Micro-enterprise](https://en.wikipedia.org/wiki/Micro-enterprise) - _Primarily associated with microfinance_
- [The role of small microbusinesses in the economy](https://www.sba.gov/sites/default/files/Microbusinesses_in_the_Economy.pdf)
- **[Company of One](https://ofone.co)** - Minimalist business principles, interviews, and course content
- [Startup Genome Project](https://startupgenome.com) - Information about what makes startups successful, accelerator programs and hubs, as well as how to attract investors
- [Resources for founders](https://steveblank.com/tools-and-blogs-for-entrepreneurs/)
- [Finding a domain name](https://instantdomainsearch.com/)

## Worldbuilding
- [Wikipedia Worldbuilding page](https://en.wikipedia.org/wiki/Worldbuilding)
- [Kanka.io](https://github.com/ilestis/miscellany)
- [Kanka Github Repo](https://github.com/ilestis/miscellany)
- [Notebook.ai](https://github.com/indentlabs/notebook)
- [World Generator Repo](https://github.com/jongallant/WorldGeneratorFinal)
- [Historic Narratives Generator Repo](https://github.com/dmasad/WorldBuilding)
- [Godcomplex](https://github.com/lvn/god-complex)
- [Worldbuilding Best Practices](https://blog.reedsy.com/worldbuilding-guide/)
- [Worldbuilding Notes](https://www.youtube.com/channel/UCncTjqw75krp9j_wRRh5Gvw)
- Real world example of a person buidling out EVERY (and I mean **every**) aspect of a world

## Tools for Thought
- [Anki](https://ankiweb.net/)
- [Best Practices for Learning with Anki](https://medium.com/swlh/level-up-your-learning-with-anki-and-spaced-repetition-3c1a84003ced)
- [Thought](https://en.wikipedia.org/wiki/Thought)
- [Tools](https://en.wikipedia.org/wiki/Tool)
- [IA Toolkit](http://iadesignkit.com/6/)

## Forecasting
- [Evaluating Forecasting Models, Training and Testing Sets](https://otexts.com/fpp2/accuracy.html)
- [My own notes](https://github.com/jamesonl/awesome-list-of-lists/tree/master/readings/forecasting)
- [Sklearn regression models](https://scikit-learn.org/stable/modules/linear_model.html)
- [An overview of forecasting](https://www.statpac.org/research-library/forecasting.htm)
- [Sklearn: Choosing the right estimator](https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html)
- [Towards Data Science: Choosing a regression model](https://towardsdatascience.com/choosing-a-scikit-learn-linear-regression-algorithm-dd96b48105f5)
- [Scoring metrics & How to write your own scoring function](https://scikit-learn.org/stable/modules/model_evaluation.html#model-evaluation)
- **Editorial Pieces:**
- [Twitch | How Our Company Learned to Make Better Predictions About Everything](https://hbr.org/2017/05/how-our-company-learned-to-make-better-predictions-about-everything)

## Foundations:
- [LongNow](http://longnow.org/)

## Conferences
- **Engineering**
- [Apache Spark / Databricks](https://databricks.com/sparkaisummit)
- [Historical Conference Sessions (Recorded)](https://databricks.com/sparkaisummit/north-america/sessions)
- [Python](https://us.pycon.org/)
- [Pycon 2020](https://us.pycon.org/2020/registration/)
- [QCon 2019](https://github.com/jamesonl/awesome-list-of-lists/blob/master/QCon2019.md)
- [Devternity](https://devternity.com/) - Turning developers into architects and engineering leaders.
- [AICamp](https://www.youtube.com/channel/UCj09XsAWj-RF9kY4UvBJh_A/videos)
- [AMLD EPFL](https://appliedmldays.org/schedule)
- [AnacondaCon 2019 ML Track](https://www.youtube.com/watch?v=LVhuj7pOWa0&list=PLGB9meziqbzr7_gqSUwmRepko6LuXsmaN)
- [Qcon.ai Applied Software for Developers](https://qcon.ai/?utm_source=mediapartner&utm_medium=listing&utm_campaign=kdnuggetsqconai19)
- [Strata 2019](https://www.youtube.com/watch?v=lkZKngg8PA8&list=PL055Epbe6d5bERedBkiFxuUIE7ttY8-yB)
- [Re-Work Deep Learning Reinforcement](https://www.youtube.com/watch?v=EczYSl-ei9g&list=PLnDbcXCpYZ8m7bVd1HjRTwWHy6X48bq4T)
- [VentureBeat Transform 2019](https://www.youtube.com/watch?v=GjrTip4IQp8&list=PLMQoSwszBxm46TwrrMLM4_xPAr7APU58h)
- [MLOps NYC 2019](https://www.youtube.com/watch?v=4dpGx8peO9w&list=PLH8M0UOY0uy6d_n3vEQe6J_gRBUrISF9m)
- [OSCon 2019](https://www.youtube.com/playlist?list=PL055Epbe6d5aROVicBdg0MRBZhI-NQqHL)
- [Rob Hyndman Seminars](https://robjhyndman.com/seminars/)

## Maker
- [Arduino Tutorials](https://www.arduino.cc/en/Tutorial/HomePage)
- [Raspberry Pi tutorials](https://tutorials-raspberrypi.com)
- [Important Sensors and Components](https://tutorials-raspberrypi.com/raspberry-pi-sensors-overview-50-important-components/)

## Methodologies / Models
- [Model of Human Intelligence](https://en.wikipedia.org/wiki/Outline_of_human_intelligence)
- [Extract, Transform, Load (ETL)](https://en.wikipedia.org/wiki/Extract,_transform,_load)
- [Model, View, Controller (MVC)](https://en.wikipedia.org/wiki/Model%E2%80%93view%E2%80%93controller)
- [Weather Models](https://weathermodels.com/)

## Prediction Markets:
- [PredictIt](https://www.predictit.org/) - site for political opinions
- [Hollywood Stock Exchange](https://www.hsx.com/)
- [Augur](https://www.augur.net/) - crypto prediction market
- [Fan Duel](https://www.fanduel.com/) - sports betting
- [Consensus Point](https://www.consensuspoint.com/) - Prediction Market research firm

## Unity / Simulation
- [HoboGalaxy](https://github.com/hobogalaxy/EvOLuTIoN) - Evolutionary pathfinding in Unity using Genetic Algorithm
- [Awesome-Unity](https://github.com/RyanNielson/awesome-unity)
- [ML Agents in Unity](https://github.com/Unity-Technologies/ml-agents)
- [Awesome Game Networking](https://github.com/MFatihMAR/Awesome-Game-Networking)

## Funny Anecdotes:
- [Design by Committee](https://en.wikipedia.org/wiki/Design_by_committee)

## Other List of Lists:
- [Awesome Awesomeness](https://github.com/bayandin/awesome-awesomeness)
- [Awesome Quotes](https://github.com/jamesonl/awesome-list-of-lists/blob/master/quotes.md)

## Protocol / Standards:
- [OpenSearch](https://github.com/dewitt/opensearch/blob/master/opensearch-1-1-draft-6.md)

## Other Tools:
- [GitShowcase](https://www.gitshowcase.com/)