A python utility for downloading Common Crawl data
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Updated
Jun 8, 2023 - Python
A python utility for downloading Common Crawl data
Yorùbá language training text for NLP, ASR and TTS tasks
YOLOv3 - Neural Networks for Object Detection in satellite Imagery.
Retrain the yolo3 model with TensorFlow and your own Dataset
A NLP program that predicts the intent of a customer query email.
SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.
Tiny DSL to generate training dataset for various NLU engines
We provide a pixel level training dataset for landuse classification (four categories - Green, Water, Barren land and Built up Areas) using google earth engine for India. All associated scripts are also provided.
Simple tool to manually label images in disctinct categories.
This project was the final project of my fuzzy control university course. This project is a library that trains a TSK fuzzy interface system (fis) from scratch in MATLAB and not using the MATLAB fis tools.
The idea is to develop a machine learning program to identify when an article might be fake news.
Deep learning project will train a deep neural network to identify and track a target in simulation
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Generates training data for training ML models. This may seem useless but it can sometimes be helpful if you don't feel like finding a ton of data yourself. Plus, because you can customize how data is generated, you can create some nasty datasets to test your algorithms.
Dataset for training EEG IC classifiers.
Radiant MLHub Client
Голосовая модель женской версии Ви (Валери) из Cyberpunk 2077 для использования с so-vits-svc-подобными нейросетями.
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