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Kaggle-environments Alternatives
Similar projects and alternatives to kaggle-environments
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InfluxDB
InfluxDB ā Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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openpilot
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
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LeetCode
Discontinued This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python. (by lyhsieh)
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Grafana
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SaaSHub
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cockroach
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Deeplearning4j
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H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better kaggle-environments alternative or higher similarity.
kaggle-environments discussion
kaggle-environments reviews and mentions
Posts with mentions or reviews of kaggle-environments.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-11-27.
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Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI
The poster's looking for articles, so this recommendation's a bit off the mark. I learned more from participating in a few Kaggle competitions (https://www.kaggle.com/competitions) than I did from reading about AI. Many folks in the community shared their homework, and by learning how to follow their explanations I developed a much more intuitive understanding of the technology. The first competition had a steep learning curve. I felt it was worth it. The application of having a specific goal and the provided datasets made the problem space more tractable.
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If you are starting in AI field ...
From this point, you have foundational knowledge about AI field. Now you need to start working related to your interested role. While learning participate in the knowledge competitions like Kaggle competitions, Dev Post Hackathons and etc.
- 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.
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A note from our sponsor - InfluxDB
www.influxdata.com | 21 May 2025
Stats
Basic kaggle-environments repo stats
57
320
8.6
7 days ago
Kaggle/kaggle-environments is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of kaggle-environments is Jupyter Notebook.
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InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com