From-0-to-Research-Scientist-resources-guide
Mage
From-0-to-Research-Scientist-resources-guide | Mage | |
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9 | 77 | |
7,352 | 7,050 | |
- | 3.5% | |
1.9 | 9.9 | |
about 2 months ago | 3 days ago | |
Python | ||
- | Apache License 2.0 |
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.
From-0-to-Research-Scientist-resources-guide
- Roadmap para InteligĂȘncia artificial.
- From Zero to Research Scientist - Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
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Trending ML repos of the week đ
9ïžâŁ ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
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Free ML Resources on the web
I am sharing with you this https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide so that you can find all the relevant books and courses that other people tried. And are insightful based upon reviews. Happy learning.
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Book Before Papers?
This guide is quite comprehensive for taking courses and reading papers From-0-to-Research-Scientist-resources-guide. Again as stated in the comments working on problems is more rewarding, and you learn more, but I would say first make sure you understand the fundamental principles.
- Mathematics and Machine Learning Free Resources
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Github ML resources list
Hello all, Iam a TA at some university and created a list for students for starting AI. I would love some feedback from experienced people on how to improve this plan so i can help as much as i can of people to learn AI. https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Mage
- FLaNK AI-April 22, 2024
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A mage on the Heroâs Journey: a fantasy epic on how a startup rose from the ashes
In the coming years, Mage will create a cooperative experience so that developers can build data pipelines with their team and level up together. After that journey, Mage will go on an epic quest to create the 1st open world community experience in the data universe.
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Data sources episode 2: AWS S3 to Postgres Data Sync using Singer
Link to original blog: https://www.mage.ai/blog/data-sources-ep-2-aws-s3-to-postgres-data-sync-using-singer
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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Mage Battlegrounds: Craft insights from real-time customer behavior analysis
You're invited to participate in the very first Mage Battlegrounds: Craft insights from real-time customer behavior analysis, a 24-hour virtual hackathon hosted by Shashank Mishra! This data engineering competition will take place on Saturday, April 15, 2023 beginning at 11am (PST). This will be a global event open to all participants who register.
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Looking for an open-source project
Try this feature: https://github.com/mage-ai/mage-ai/issues/1166
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Daskqueue: Dask-based distributed task queue
Seeing if we can use it in https://github.com/mage-ai/mage-ai
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Data Pipeline on a Shoestring
That being said thereâs a solid family of services just breaking ground that make the local pipeline deployment easier (check out https://www.mage.ai, which does have a clear path to cloud deployment of locally developed pipes, it just isnât well documented yet, and also https://www.neuronsphere.io - which doesnât have a public solution YET (theyâre internally testing an alpha) but they built a cloud deployable solution for their paying customers and working to release one for freemium use)
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Trending ML repos of the week đ
7ïžâŁ mage-ai/mage-ai
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Delta without using Spark
Yes, check out how Mage does it: https://github.com/mage-ai/mage-ai/tree/master/mage_integrations/mage_integrations/destinations/delta_lake_s3
What are some alternatives?
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
dagster - An orchestration platform for the development, production, and observation of data assets.
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code
AnkiMath - A bachelor's degree in mathematics.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
100-Days-Of-ML-Code - 100 Days of ML Coding
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
mito - The mitosheet package, trymito.io, and other public Mito code.
tuning_playbook - A playbook for systematically maximizing the performance of deep learning models.
Data-Science-Roadmap - Data Science Roadmap from A to Z