Comments (23)
Ah thanks! This definitely smells fear, bad habit I reckon.
from deepdetect.
Thanks for your small source code improvement.
from deepdetect.
Thanks for being such a careful watcher! I'm curious, do you have some tool that compiles random github projects and then let know authors of potential improvements ?
from deepdetect.
How do you think about to try a search interface out like it is provided by GitHub for any more use cases?
Are you looking for higher level tools which would support such software fine-tuning?
from deepdetect.
I'm always looking for tools that can automate anything, including the quality of code, but time being scarce, to succeed with me I've observed they need to be rather simple to setup and maintain.
from deepdetect.
Would you like to help in the support for developments around software which can transform source code in a programming language like "C" in a way so that advanced data processing could also be better handled for C++?
from deepdetect.
I guess I get a rough idea of the concept. I'd be happy to look and bookmark a repository for potential later use. Current time is a bit scarce to make promises...
from deepdetect.
Should I wait with further tool suggestions until you feel a bit more ready to continue a corresponding discussion?
from deepdetect.
Can you paste links ? I will check them out, it is unlikely I would be able to participate in support or development of these tools.
from deepdetect.
The programming language "C++" belongs to the category of context-dependent languages. This fact results in various software development challenges, doesn't it?
- I am occasionally working with the semantic patch language which can be evaluated by the Coccinelle software. This approach supports the programming language "C" to some degree.
- There are also tools evolving for model-driven engineering and dynamic system reconfiguration.
Do you get ideas to improve evolution around such application domains?
from deepdetect.
Sort of. My bias is obviously toward machine learning. This recent news is close to a series of small projects I've had in mind for a while, you might find this interesting: http://news.mit.edu/2016/faster-automatic-bug-repair-code-errors-0129
from deepdetect.
Are you interested to integrate the knowledge about unnecessary null pointer checks into any evolving machine learning systems?
from deepdetect.
If you mean that you have some sort of dataset, I'd look at it.
from deepdetect.
Are any more software developers and machine learning researchers interested to create a database similar to the approach "Automatic Patch Generation by Learning Correct Code" by Fan Long and Martin Rinard for advanced source code queries?
from deepdetect.
That would put you on permanent vacation. I think I like permanent vacation.
from deepdetect.
Would you like to train your software for finding any more update candidates in specific application domains?
from deepdetect.
I think I'd like permanent vacation :)
from deepdetect.
Does such a vacation prevent you from further experiments with your evolving software?
from deepdetect.
Definitely!
from deepdetect.
But to answer your earlier question, this software is not fully equiped to deal with such a dataset, as I it may require using recurrent neural nets / LSTM, which dd does not support for now. If you make a dataset public, I'll look at it. I am certain many researchers would be interested as well. Code cleanup has a high cost and it is legitimate to believe that code should get automated, rapidly.
from deepdetect.
How are the chances to discuss corresponding software evolution any further after your holiday was eventually long enough? ;-)
from deepdetect.
Let's keep the discussion open. A good place where to wrap up your questions regarding feasibility of something like this is https://reddit.com/r/machinelearning
from deepdetect.
I prefer other communication interfaces so far. Would you like to look at any additional tools for this purpose?
from deepdetect.
Related Issues (20)
- Inconsistent predictons using refinedet model HOT 12
- Memory leak on constant /predict requests HOT 8
- Refinedet Tensorrt prediction fails HOT 7
- Memory leak on compressed predict requests with oatpp HOT 7
- Different prediction with tensorrt on refinedet model for the version v0.18.0 HOT 3
- getting error while training, .solverstate HOT 23
- Chain predictions swapped between images HOT 2
- Simsearch query segfault when using IVF indexes, but not default/flat index HOT 6
- On object detect training call, missing either test or train list causes a segfault
- dd_client not find in this path anyone help HOT 2
- How do I do a face recognition using this? HOT 2
- DeepDetect full rewrite in Pure Java
- 'OCR' object has no attribute 'histogram_equalization' HOT 13
- "best: -1" in predict behaves differently in torch models HOT 2
- Torch v1.12 requires libcupti* but nvidia/cuda:11.6.0-cudnn8-runtime-ubuntu20.04 doesn't include it
- Race condition / pthread error when predicting
- I have error build xgboost HOT 1
- Using `true` or `false` instead of `1` or `0` for query params for status or labels returns a internal server error HOT 1
- Question about hosting the docker image HOT 4
- Graphics problem with tsne algorithm HOT 1
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