Panda3D ShowBase

This function creates a simple Panda3D application that loads a cube model and changes its color to a random color every time the function is called.

Panda3D Application 2024-12-16 12:18:04 49 views

gensim

This function uses Word2Vec or Doc2Vec models from the gensim library to generate a sentence with random words. The user can specify the model type (dbow or doc2vec) and the number of words to generate.

Text generation 2024-12-16 12:18:02 29 views

SHAP Numpy

This function uses the SHAP library to visualize the SHAP values for a given model and data. It takes input features, target variable, model, and feature names as inputs and generates a visualization of the SHAP values.

The type of code 2024-12-16 12:18:00 34 views

Scikit-learn

This function uses the RandomForestClassifier from Scikit-learn to fit a model on the training data, make predictions on the test data, and then calculate and return the accuracy of the predictions.

Machine learning classification 2024-12-16 12:17:59 29 views

gensim Word2Vec

This function uses the Word2Vec model from the gensim library to convert input text into word vectors and saves and loads the model.

Function 2024-12-16 12:17:58 27 views

Fairseq TransformerModel

This function uses the Transformer model from the Fairseq library to perform text translation. It first loads the pre-trained model and dictionary, then encodes the source text, translates it using the model, and finally decodes the translated tokens into text.

Translation function 2024-12-16 12:17:55 31 views

Huggingface Transformers

This function uses the summarization model from the Huggingface Transformers library to generate a random summary of the given text.

Function 2024-12-16 12:17:53 29 views

scikit-learn LogisticRegression

This function uses the LogisticRegression model from the scikit-learn library to train a dataset and evaluate its accuracy on a test set.

Machine learning 2024-12-16 12:17:51 30 views

Keras MNIST

This code defines a function that uses the Keras library to classify the MNIST dataset. It first loads the dataset, then preprocesses the data, then constructs a simple neural network model, compiles and trains the model, and finally evaluates the model performance.

The type of code 2024-12-16 12:17:47 31 views

gensim

This function uses the Word2Vec class from the gensim library to train a word vector model. It accepts text data as input and can specify the vector size and window size.

Function 2024-12-16 12:17:46 29 views