poutyne
| poutyne | kaggle-environments | |
|---|---|---|
| 1 | 55 | |
| 557 | 273 | |
| 0.2% | 0.0% | |
| 4.5 | 6.6 | |
| 10 months ago | about 2 months ago | |
| Python | Jupyter Notebook | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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poutyne
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[D] Looking for open source projects to contribute
Hi, I'm the author of Poutyne, a library that aims to simplify the use of PyTorch while keeping all its flexibility. Always looking for contributions. If you look in the issue on the Github repo, you'll few suggestions but I'm always looking for other ideas to improve the library.
kaggle-environments
- Data Science Roadmap with Free Study Material
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Help needed! My first hackathon
If you are interested in Data Science, you may want to look at Kaggle competitions. https://www.kaggle.com/competitions
- What's a statistical / research methodology, that's not usually taught in grad programs, that you think more IO's should be aware about?
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Freaking out about how Iām inexperienced to land an internship and eventually a job
Secondly, if you feel like you do not have enough skills or a lack of practice answering problem statements, there are a lot of good websites where you can find interesting projects. I would recommend starting participating in some Kaggle competitions or download some free Google datasets and start playing with them.
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Capitalism provides half-assed solutions to extinction-level problems caused by capitalism
For reference: Kaggle is a Google product. You can see the list of current competitions here.
- Where can neural networks take me? - Semi-existential crisis
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What Can I Do With My Time as a Substitute for Strategy Computer Games?
You could try Kaggle competitions, or participating in forecasting markets (as you stated) is another option. You don't need any specific skill set to be a forecaster, the rules of the bet are stipulated and from there it's just based on your ability to predict the outcome. You could also try your hand at investing in the stock market, or try and make money betting on sports games. If you're very good at this stuff I'm sure you can make a lot of money doing it. The thing to keep in mind is that generally video games are much much easier than real life
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What is the best advanced professional certification for Data Science/ML/DL/MLOps?
As to the specifics of your projects, that's up to you. Try browsing Kaggle; check out some of the work we have on The Pudding; check out some journalism examples to see what you can try to build on or improve.
- Suggestions for projects on kaggle for cv?
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Hi! Im doing research on AI innovation. Does anybody know any specific platform where I can learn/understand and get case studies or on-going projects that companies are implementing? Thanks for your help!
You might want to look at kaggle competitions.
What are some alternatives?
transformers - š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
general
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
habitat-sim - A flexible, high-performance 3D simulator for Embodied AI research.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
docarray - Represent, send, store and search multimodal data
dataqa - Labelling platform for text using weak supervision.
datasci-ctf - A capture-the-flag exercise based on data analysis challenges
imodels - Interpretable ML package š for concise, transparent, and accurate predictive modeling (sklearn-compatible).
dremio-oss - Dremio - the missing link in modern data