ck
osmnx
ck | osmnx | |
---|---|---|
9 | 14 | |
580 | 4,671 | |
1.2% | - | |
10.0 | 9.5 | |
6 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | MIT 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.
ck
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Do you have an idle @Nvidia GPU? Can you please help the community test the beta version of the open-source framework for composable benchmarking and design space exploration of ML Systems?
If you have an idle Nvidia GPU and Linux, can you please help the community test the beta version of the open-source framework for composable benchmarking and design space exploration of ML systems: https://github.com/mlcommons/ck/blob/master/cm-mlops/project/mlperf-inference-v3.0-submissions/docs/crowd-benchmark-mlperf-bert-inference-cuda.md ?
- Sharing a tutorial to modularize ML Systems
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[N] Tutorial to modularize ML Systems benchmarks from the Student Cluster Competition'22
Hi! Just sharing this tutorial from the Student Cluster Competition at SuperComputing'22 to learn how to modularize and run ML Systems benchmarks. 10 international teams had about 30 minutes to run it and most of them succeeded while sharing their results at the live dashboard . It is a part of the ongoing effort to modularize ML Systems and automate their benchmarking and optimization. Feedback is very welcome!
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Asking for a favor to test modular ML benchmark for Student Cluster Competition
We would like to ask for a favor: we have prepared a tutorial to help students run the MLPerf inference benchmark across different platforms at the Student Cluster Competition at SuperComputing'22 in a few days: https://github.com/mlcommons/ck/blob/master/docs/tutorials/s... .
We would like to test it across different machines before students run it ;) . If you have time, please help us go through this tutorial and run this benchmark on any available system - it should not take more than 20..30 minutes.
If you encounter any issues, please report them at https://github.com/mlcommons/ck/issues so that we could fix them before the competition.
Thank you for supporting this community project!
- MLCommons is creating a new working group to modularize ML Systems
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[N] Open working group to modularize ML Systems
Just to let you know that we are preparing a new working group at MLCommons to help the community modularize ML/AI Systems and automate their benchmarking, optimization and deployment. It will be based on the MLPerf methodology and MLCommons "Collective Knowledge" automation meta-framework that was already used to automate recent MLPerf inference benchmark submissions from Qualcomm, HPE, Lenovo, Krai, DELL and OctoML. Please join the group here to provide your feedback and help with this community effort! Thank you!
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[N] Releasing the MLPerf automation framework to plug in real-world ML models, data sets and tools
Hi! Just sharing our open-source project to automate MLPerf benchmarks and make it easier for everyone to plug in their real-world ML models, data sets, frameworks/SDKs and hardware. Feedback is very welcome!
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Research software code is likely to remain a tangled mess
– Their solution product https://cknowledge.io/ and source code https://github.com/ctuning/ck\
I guess it should be helpful to the researchers community.
osmnx
- I played with a python module called OSMnx to create the roadmaps of some cities. These include major highways,motorways,roads and streets that carry most of the traffic.
- Planning a straight line across Norwich, the best route I could find just scraped a silver.
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Anyone here familiar with GeoPandas in Python? Can GeoPandas calculate driving distances and drive time?
You want osmnx
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[OC] Neighborhood walkability in Delhi
OSM road network data was analyzed using osmnx (https://github.com/gboeing/osmnx). Plotted using QGIS.
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Rate Limit Causing Pause
I think you’re hitting this issue right now: https://github.com/gboeing/osmnx/issues/832
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Video: Why Open Data Matters for Cycling: Visualizing a Cycling City
RDS-TMC transmits traffic data over FM radio. https://en.wikipedia.org/wiki/Traffic_message_channel Some is encrypted, some not.
It might be possible to model traffic with OSMnx to assign weights to roads by expected traffic levels https://github.com/gboeing/osmnx
Depending on where you live you might be able to get traffic data and maybe traffic models from public authorities using Freedom of Information requests.
- I just want things to work
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Number of Public Transport Stations & Doctors in each city in Germany
Osmnx might also be a way to download data for the whole country. It breaks the area up in smaller parts automatically and also downloads the parts from Overpass. https://github.com/gboeing/osmnx
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Tacoma!
You can make your own with a variety of tools, but I like the results from OSMnx offhand.
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Need to get a national (US) file of cycleways.
I have no idea if this works for such large regions, but https://geoffboeing.com/publications/osmnx-complex-street-networks/ is an awesome tool to visualize street (and maybe bike) networks.
What are some alternatives?
SmartSim - SmartSim Infrastructure Library.
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
budgetml - Deploy a ML inference service on a budget in less than 10 lines of code.
pyosmium - Python bindings for libosmium
dslinter - `dslinter` is a pylint plugin for linting data science and machine learning code. We plan to support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas and NumPy.
overpass-wizard - :dizzy: Human friendly way to generate Overpass API queries
frontends-team-compass - A repository for team interaction, syncing, and handling meeting notes across the JupyterLab ecosystem.
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
aws-deployment-framework - The AWS Deployment Framework (ADF) is an extensive and flexible framework to manage and deploy resources across multiple AWS accounts and regions based on AWS Organizations.
atlas - OSM in memory
terraform-tui - Terraform textual UI
qgis-outdoor-map - QGIS project for an outdoor map based on OpenStreetMap data.