SUMo Portable(Software Update Monitor) keeps your PC up-to-date & safe by using the most recent version of your favorite software! Unlike build-in auto update features, SUMo tells you if updates are available before you need to use your software. Building PHP on Mac OS X is pretty straightforward, though you might encounter a hiccup or two along the way. For any number of reasons you may find yourself needing to build PHP from source. Perhaps you need to match a client’s version for a particular project. Or you maybe want to test against different versions before releasing some code.
RSS Feed RSS Feed (free software only)2,025 applications totalLast updated: Apr 30th 2021, 13:39 GMT
Helps you determine functional consequence of mutations
The free, Java-based and open source Geographic Information System for the World
An application to model and generate vehicular traffic
A free simulation where you can investigate collisions
Find out if a chemical equation is balanced
Allows you to learn about balance
A free and open source genome viewer
NMR spin dynamics simulation
A powerful astronomical spectogram plotter and analyzer
Java based function plotter
API to manipulate and process CellML
Helps you design and test circuits
Helps you determine genome-specific alignments
Epidemiological geo-referenced analysis and simulation system
Tool for inferring large-scale neighbor-joining phylogenies
Tool for the computational prediction of microRNAs
Helps you simulate GROMACS Molecular dynamics trajectories
Helps you visualize Affymetrix SNP array data
Computes the similarity between RNA secondary structure
A tool for processing the output of Progenesis LC-MS
Helps you conduct genome-wide association studies
Java based genome imaging and clustering utility
An easy to use workflow engine for your Mac
A free and open source Java library
Helps you load and analyze various wing images
Identify and characterize Ribose zippers found in PDB files
Java based RNA analysis utility
A cross-platform DNA motif sampler
Helps you sort waveforms
Java tool to predict the secondary structure of RNA alignments
Released:
Scalable Multi-Agent RL Training School
SMARTS (Scalable Multi-Agent RL Training School) is a simulation platform for reinforcement learning and multi-agent research on autonomous driving. Its focus is on realistic and diverse interactions. It is part of the XingTian suite of RL platforms from Huawei Noah's Ark Lab.
Check out the paper at SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving for background on some of the project goals.
We use supervisord to run SMARTS together with it's supporting processes. To run the default example simply build a scenario and start supervisord:
With supervisord
running, visit http://localhost:8081/ in your browser to view your experiment.
See ./envision/README.md for more information on Envision, our front-end visualization tool.
Several example scripts are provided under SMARTS/examples
, as well as a handful of scenarios under SMARTS/scenarios
. You can create your own scenarios using the Scenario Studio. Here's how you can use one of the example scripts with a scenario.
Documentation is available at smarts.readthedocs.io
SMARTS provides a command-line tool to interact with scenario studio and Envision.
Usage
Commands:
Subcommands of scenario:
Subcommands of envision:
Subcommands of zoo:
See the provided ready-to-go scripts under the examples/ directory.
Please read Contributing
Please read how to create a bug report and then open an issue here.
Assuming you have run pip install .[dev]
.
If you want to easily visualize observations you can use our Visdom integration. Start the visdom server before running your scenario,
And in your experiment, start your environment with visdom=True
PyMARL and malib have been open-sourced. You can run them via,
If you're comfortable using docker or are on a platform without suitable support to easily run SMARTS (e.g. an older version of Ubuntu) you can run the following,
(For those who have permissions:) if you want to push new images to our public dockerhub registry run,
In many cases additinal run logs are located at '~/.smarts'. These can sometimes be helpful.
SUMO can have some problems in setup. Please look through the following for support for SUMO:
If you use SMARTS in your research, please cite the paper. In BibTeX format:
0.4.15
0.4.15rc0 pre-release
0.4.14.post2
0.4.14.post1
0.4.14
0.4.14rc0 pre-release
0.4.13
0.4.12
0.4.11
0.4.10
0.4.9
0.4.8
0.4.7
0.4.6.post0
0.4.6
0.4.5
0.4.4
0.4.3
0.4.2
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size smarts-0.4.15-py3-none-any.whl (4.5 MB) | File type Wheel | Python version py3 | Upload date | Hashes |
Algorithm | Hash digest |
---|---|
SHA256 | 951b12bf0a271ca65589628c07b165a4faa3ea64b6173618cfab8bb1c8cf0e79 |
MD5 | 770d959dd0e3edf71faf7b674ae362ad |
BLAKE2-256 | ae421aef09f9cb049e4ef92f7bee9b21ef78e096fd891d354d1c6b15a281b78d |