There are 2 repositories under training-dataset topic.
A python utility for downloading Common Crawl data
A repository of NSFW images to be used for machine learning/image classification purposes
Yorùbá language training text for NLP, ASR and TTS tasks
Display an image and text file side-by-side for easy manual caption editing.
MrD Deeplearning Trainer Tool
YOLOv3 - Neural Networks for Object Detection in satellite Imagery.
SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.
Dataset for training EEG IC classifiers.
https://www.hackster.io/Altaga/facemask-detector-f0c10f
Retrain the yolo3 model with TensorFlow and your own Dataset
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.
Tiny DSL to generate training dataset for various NLU engines
Example of how to get data from COCO dataset and visualize it.
A tutorial on how to train a YOLOv4 vehicle detector using Darknet and the RoundaboutTraffic dataset on a NVIDIA Jetson Nano.
A NLP program that predicts the intent of a customer query email.
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.
a tool used to translate data from brat to crf trainning data set
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Urhobo language training text for NLP, ASR and TTS tasks
A simple and free-from-overcomplications implementation of artificial neural networks ("ANN") using only Python and NumPy.
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.
A generative pre-trained transformer (GPT) using a recurrent neural network (RNN) to generate poetry with customizable length and creativity index.
Google Colab custom object detection training and downloading trained frozen inference graph protobuf file to google drive
Built a Fully Convolutional Neural Network to identify and track a person with a Drone.
In this project, I have used Nvidia's CNN model to mimic human driver's behavior using a simulator.
An imageset for object detection of annotated, street-level images from natural disasters.
Голосовая модель Джонни Сильверхенда из Cyberpunk 2077 для использования с so-vits-svc-подобными нейросетями.
Голосовая модель Скиппи из Cyberpunk 2077 для использования с so-vits-svc-подобными нейросетями.
Голосовая модель женской версии Ви (Валери) из Cyberpunk 2077 для использования с so-vits-svc-подобными нейросетями.
Generates training Data for financial Neural Networks based on S&P500 listed Stocks.
A trainer to ease the training of Yolov5 models. You just need the dataset, then you're good to go on one command.
Algoritmo de entrenamiento básico a neurona artificial
Face Detection attendance system. This project is presented as Main project by me in my B. Tech Final year. We made this using Python with OpenCV library's HOG algorithm.