Hackathon2015 | Achievements from the 2015 WBAI Hackathon | Data Labeling library
kandi X-RAY | Hackathon2015 Summary
kandi X-RAY | Hackathon2015 Summary
Achievements from the 2015 WBAI Hackathon.
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Top functions reviewed by kandi - BETA
- Train the model
- Forward computation
- Compute softmax cross entropy
- Validate the model
- Forward one step
- Draws the loss curve
- Load dataset
- Extract data from two files
- Calculates cost updates for each layer
- Return a random input
- Returns the original input
- Create result directory
- Draw an image
- Draw filters
- Draw filters
- Predict the sign of the signature
- Predict for each layer
- Get an optimizer object
- Train the objective function
- Draw a histogram of weights
- Save model parameters to file
- Predict the model
- Draw weight plot
- Set parameters from json data
- Calculates the cost of the loss function
- Evaluate the mean squared error
Hackathon2015 Key Features
Hackathon2015 Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.
What I've done so far is make this representation with the same enumerator class.
A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?
...ANSWER
Answered 2021-Dec-30 at 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.
In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space
i have this:
...ANSWER
Answered 2020-Nov-16 at 07:24Try something like:
QUESTION
Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.
Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.
Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.
...ANSWER
Answered 2020-Oct-27 at 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Hackathon2015
You can use Hackathon2015 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.
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