dtnn | Deep Tensor Neural Network | Machine Learning library
kandi X-RAY | dtnn Summary
kandi X-RAY | dtnn Summary
dtnn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. dtnn has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However dtnn build file is not available. You can download it from GitHub.
Deep Tensor Neural Network
Deep Tensor Neural Network
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Quality
Security
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Support
dtnn has a low active ecosystem.
It has 62 star(s) with 28 fork(s). There are 14 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 3 have been closed. On average issues are closed in 22 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of dtnn is current.
Quality
dtnn has 0 bugs and 0 code smells.
Security
dtnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
dtnn code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
dtnn is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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dtnn releases are not available. You will need to build from source code and install.
dtnn has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 1134 lines of code, 68 functions and 15 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed dtnn and discovered the below as its top functions. This is intended to give you an instant insight into dtnn implemented functionality, and help decide if they suit your requirements.
- Start early stopping
- Get output
- Apply preprocessor to features
- Call the model_fcn
- Run the loop
- Reload the table
- Convert the ATOM row to features
- Iterate over all atoms
- Preprocessor for preprocessing
- Calculate interatomic distances
- R Generate the site rdf
- Calculate the masked mean of x
- Reduce x
- Prepare dataset
- Splits a database into partitions
- Evaluate TNN
- Predict U0
- Load GDB - 9 atom references
- Dense layer
- Load GDB - 9 data
- Perform batching
- Performs a masked sum
Get all kandi verified functions for this library.
dtnn Key Features
No Key Features are available at this moment for dtnn.
dtnn Examples and Code Snippets
No Code Snippets are available at this moment for dtnn.
Community Discussions
Trending Discussions on dtnn
QUESTION
Extract POS tag for a word coming before a given word
Asked 2020-Jul-05 at 09:40
I am new in python and I am trying to extract Part of speech (Stanford CoreNLP) for a word coming before a given word. for the text = "انسان يحضر طعامه باستخدام الخبز الابيض وبجانبه قطة سوداء؟"
here is my code
...ANSWER
Answered 2020-Jul-05 at 09:40The issue was in the line
if re1[0] in tag[1]:
this gets all the words within tag[1] string matches with re1[0] whether it is a word or a char.
solution, I tried using regular expression to get the exact words in tag[1].
if re.match(r'\b'+ re1[0]+'(?!\.?\d)', tag[1]):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dtnn
You can download it from GitHub.
You can use dtnn like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use dtnn like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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