awesome-data-centric-ai
awesome-generative-ai-companies
| awesome-data-centric-ai | awesome-generative-ai-companies | |
|---|---|---|
| 7 | 3 | |
| 303 | 89 | |
| 1.3% | - | |
| 3.2 | 5.9 | |
| 5 months ago | 7 months ago | |
| Jupyter Notebook | ||
| MIT License | Creative Commons Zero v1.0 Universal |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-data-centric-ai
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Thoughts: Continue current degree with one year left, or start anew with degree apprenticeship
I would finish the degree anyway. It's only one year left. If teachers miss classes, I would disregard that and try to learn on my own, and then yes, I would move on to an internship (or even do It at the same time if it's possible). If you like, come as meet us at the Data-Centric AI Community and we can do some projects together :)
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Data science projects
Definitely a lot of growth in the AI space, and it will evolve rapidly in the next few years. There several paid propositions at the Data-Centric AI Community discord, check them out.
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I absolutely hate my internship
2: Tbh, quit (?) We have open jobs at the Data-Centric AI Community. Bonus points: you can vent there as much as you want
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Prioritise Data Science Projects
Let me invite you to the Data-Centric AI Community we have several code along sessions and projects and a lot of beginners that are starting to learn DS that you can connect with.
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Imbalanced data
If you need specific help with your project you can find me at the Data-Centric AI Community and we'll be happy to take a look and give you some tips to move forward :)
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Building my first Porfolio
You can share with us your progress on the Data-Centric AI Community and ask someone to review it, we often do that with CVs as well and help each other out.
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[Q] How to generate synthetic dataset for anomaly detection?
Maybe you can use a synthetic data generator and use your current dataset as input? I believe there are a lot of GAN-based models for this purpose out there. The ones listed on https://github.com/Data-Centric-AI-Community/awesome-data-centric-ai are mostly focused on structured data, but I'm sure there are similar packages for images.
awesome-generative-ai-companies
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What are all these AI startups that they always reference?
There are a ton of sites with lists of AI companies out there. Here are a few: - https://bigailist.com/ - https://github.com/AlexChalakov/awesome-generative-ai-companies
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Curated list of Generative AI companies based on focus area and fundraising
I’ve attached the GitHub below, however, for all my non-tech friends, here is the website with all of the content: https://generativeaicompanies.tech
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List of Publicly Traded Generative AI Companies
I just created an open-source project consisting of exactly what you need. The website is here: https://generativeaicompanies.tech and if you want to add something to the list the GitHub repository is here:https://github.com/AlexChalakov/awesome-generative-ai-companies
What are some alternatives?
ydata-synthetic - Synthetic data generators for tabular and time-series data
awesome-chatgpt - 🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
redis-ai-resources - ✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
walkalongs - Resources and solutions of various technologies that I am currently learning
awesome-llm - Awesome series for Large Language Model(LLM)s
DataScienceProjects
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
Portfolio
fullnamematchscore-go - Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge
COVID-US - Open benchmark dataset of COVID-19 related ultrasound imaging data, curated and systematically validated — Ensemble de données de référence ouvert d'imagerie échographique liées à la COVID-19, organisé et systématiquement validé
Awesome-CloudOps-Automation - Cloud-ops automation runbooks that are ready to use. Build your own automations using the hundreds of drag and drop actions included in the repository. Built on Jupyter Notebooks, our automation platform jumpstarts your SRE RunBook creation. 😎 published by the unSkript community.