openMotor
deepvariant
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openMotor | deepvariant | |
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7 | 5 | |
334 | 3,076 | |
- | 1.5% | |
5.0 | 9.1 | |
3 months ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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.
openMotor
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My partner’s son really wants to make a sugar rocket- what to discuss with him
keep away from PVC tubes, cause those shatter rather than peel like with cardboard or aluminium tubes. and unlike aluminium, it doesn't turn up in x-rays. don't follow online video tutorials, cause they're often simplified massively and don't explain the complexities. anyways, here's an online video tutorial (ironic) series by someone who's built much more complicated motors than pvc tubes packed with sugar. He does this at MIT, and also co-made OpenMotor, a software to get estimated chamber pressure, KN (a value proportional to the chamber pressure and surface area of burning, can't remember the exact formula for it), and thrust, plotted on a graph relative to time. There's also this site, which is basically the archive of someone who's been building amateur motors for decades, and it contains hundreds of separate pages, most of which contain extremely useful information, especially the theory section. I'm currently designing my own motor using sugar too, and these have all been a massive help.
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What's the difference between table sugar and powdered sugar for Rocket Candy ?
You’ll also need a casing capable of safely handling the pressure, so you might as well just get a commercial reloadable motor at that point. It would be a good idea to take a step back and stop making your own motors until you have enough experience with reloadable motors to understand how they work. A good way to get familiar with the design aspects is to try replicating the performance data from existing motors in OpenMotor, which you can also use to design experimental motors around a commercial motor case.
- Rocket Analysis Code
- openMotor v0.5.0 released! Follow the link to read the changelog and download it.
- Solid propellant burn back modeling
- Way to measure model engine thrust for class
- OpenMotor: An open-source internal ballistics simulator for rocket motors
deepvariant
- Look over my purchase, is there anything I should return?
- Welche Berufe haben ein riesiges Angebot an Arbeitskräften (zb. Marketing) und welche Berufe haben wirklich echten Fachkräftemangel und brauchen dringend mehr öffentliche Plattform?
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Give me your suggestions for papers with a Convolutional Neural Network in Bioinformatics
See https://www.nature.com/articles/nbt.4235 for the paper and https://github.com/google/deepvariant for the code.
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[D] Is deep learning having an impact in life sciences yet?
Deepvariant is a another example.
What are some alternatives?
AeroVECTOR - Model Rocket Simulator oriented to the design and tuning of active control systems, be them in the form of TVC, Active Fin Control or just parachute deployment algorithms on passively stable rockets. It is able to simulate non-linear actuator dynamics and has some limited Software in the Loop capabilities. The program computes all the subsonic aerodynamic parameters of interest and integrates the 3DOF Equations of Motion to simulate the complete flight.
galaxy - Data intensive science for everyone.
RocketPy - Next generation High-Power Rocketry 6-DOF Trajectory Simulation
masurca
nextinspace - Never miss a launch. 🚀
scanpy - Single-cell analysis in Python. Scales to >1M cells.
openrocket - Model-rocketry aerodynamics and trajectory simulation software
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Biopython - Official git repository for Biopython (originally converted from CVS)
af2complex - Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
slivar - genetic variant expressions, annotation, and filtering for great good.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.