A collection of training and evaluation data for Morpher

SLI mappings for the Princeton Annotated Gloss Corpus dataset

Convert senticnet data into JSON format

Training data from digitally available United Nations Resolutions from the Security Council and General Assembly

SLI mappings for OMSTI dataset

The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.

Gender Classification

Forex tick-by-tick EUR/USD data, free to use for your Forex machine learning stuffs..

Classification with ensemble learning & resampling techniques.

Learn and practice several regularization techniques (including dropout regulation and hyperparameter-tuning) to improve model accuracy

company_data_prj9

Cross-platform source to text file conversion tool

Sign Language Detection can interpret sign language gestures and facilitate communication between sign language users and non-signers. The project utilizes computer vision techniques and deep learning algorithms to accurately recognize

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually. Use R or Python to perform this task

Un conteneur docker destiné à l'entraînement de modèles Grobid

Machine Learning Practice and Exercises Welcome to our repository dedicated to the practice and mastery of machine learning (ML) concepts and techniques. This repository serves as a comprehensive resource for learners and enthusiasts looking to enhance their ML skills through hands-on exercises and practical applications.

This a basic ANN template which works on a sigmoid activation function. Initially the weights are created with a randomized function on a truncated normal distribution. The model further uses training and updation of weights using back propagation algorithm

In this project, I have used a custuomized Lenet-5 convolutional neural network architecture to classify German traffic signs.

This is a deep learning CNN image classifier written in Python in the JupyterLab environment.

Export Supervisely to Cityscapes