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Circuit_training Alternatives
Similar projects and alternatives to circuit_training
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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vortex-auv
Software for guidance, navigation and control for the Vortex AUVs. Purpose built for competing in AUV/ROV competitions.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better circuit_training alternative or higher similarity.
circuit_training reviews and mentions
Posts with mentions or reviews of circuit_training.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-12.
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The False Dawn: Reevaluating Google's RL for Chip Macro Placement
>> It is sad that you are providing a platform for someone's resentments.
The claims about independent replication refer to Google's circuit_training repository[1]. The UCSD team has conclusively shown this claim was materially false (see section 3 of their paper[2]).
BTW, Prof. Andrew Khang, who headed the UCSD effort, initially wrote an exteremely favorable editorial about the Nature paper[3].
[1] https://github.com/google-research/circuit_training
[2] https://arxiv.org/pdf/2302.11014.pdf
[3] https://www.nature.com/articles/d41586-021-01515-9
- Did recent AI events change your life plans?
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Suggest some final year projects ideas for electronics engineering using RL
Depending on your current level and coding knowledge I would highly recommend to build on existing RL-platform such as e.g. Circuit-Training, and then potentially explore RL-aspects orthogonal to the original paper in your work. Examples could be adopting some of the recent work on more effective sample spaces, quantifying uncertainties in the design process with regards to the optimality of the design, or adding more a further degree of freedom to the framework.
- Circuit Training: An open-source RL framework for generating chip floor plans
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Google fires another AI researcher who reportedly challenged findings
On the other hand, the research is open sourced here: https://github.com/google-research/circuit_training
The TF-Agents team replicated the RL training (with the corresponding teams' very deep collaboration) and open-sourced it here:
https://github.com/google-research/circuit_training
It pretty much gets the same results as found in the Nature paper.
The original codebase was heavily research-focused, used TF1, was impossible to run distributed training outside of Google's infra, and made it hard to try algorithms other than PPO. So it was reimplemented on top of TF2 and using some distributed training and collection technologies developed by the TF-Agents team at Google Brain and infra teams at DeepMind.
Everyone is welcome to poke at the training code and the model, and convince themselves that it does what it says on the box :)
- Circuit Training: A framework for generating chip floor plans with Deep RL
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A note from our sponsor - SaaSHub
www.saashub.com | 30 Apr 2024
Stats
Basic circuit_training repo stats
7
684
6.9
6 days ago
google-research/circuit_training is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of circuit_training is Python.
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