Topic: training-dataset Goto Github
Some thing interesting about training-dataset
Some thing interesting about training-dataset
training-dataset,YOLOv3 - Neural Networks for Object Detection in satellite Imagery.
User: ahsanr312
training-dataset,https://www.hackster.io/Altaga/facemask-detector-f0c10f
User: altaga
training-dataset,A tutorial on how to train a YOLOv4 vehicle detector using Darknet and the RoundaboutTraffic dataset on a NVIDIA Jetson Nano.
User: alxandru
training-dataset,The idea is to develop a machine learning program to identify when an article might be fake news.
User: ankit152
training-dataset,Our goal is to create a simple tool using machine learning to help people understand how NFT prices work, specifically focusing on the Pudgy Penguins collection!
User: anvithachaluvadi
Home Page: https://docs.google.com/presentation/d/1PGDx3zYDpcDUW4wMAs_VFKhvpY08bwEgjp0JIBRMWXE/edit?usp=sharing
training-dataset,Example of how to get data from COCO dataset and visualize it.
User: aritzbadiolabengoa
training-dataset,Tiny DSL to generate training dataset for various NLU engines
Organization: atlassistant
Home Page: https://atlassistant.github.io/chatl/
training-dataset,a tool used to translate data from brat to crf trainning data set
User: caopeng86
training-dataset,Deep learning project will train a deep neural network to identify and track a target in simulation
User: cshreyastech
training-dataset,Retrain the yolo3 model with TensorFlow and your own Dataset
User: cw-zero
training-dataset,The objective of this project is to predict whether a user will download an app after clicking a mobile app advertisement using the R language
User: diogofs6086
Home Page: https://diogofs6086.github.io/Project_1_in_R/
training-dataset,MrD Deeplearning Trainer Tool
User: gellston
training-dataset,SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.
User: hammoudiproject
Home Page: https://github.com/hammoudiproject/SuperpixelGridMasks
training-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.
User: hariomahlawat
training-dataset,Simple tool to manually label images in disctinct categories.
User: hlgirard
training-dataset,PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
User: j4nn0
training-dataset,A generative pre-trained transformer (GPT) using a recurrent neural network (RNN) to generate poetry with customizable length and creativity index.
User: jai0212
training-dataset,Radiant MLHub Client
User: jsakv
training-dataset,카메라 이미지의 신호등 인식 기술 개발
User: jungpilyu
training-dataset,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.
User: kiankhaneghahi
training-dataset,Dataset for training EEG IC classifiers.
User: lucapton
training-dataset,
User: m4nh
training-dataset,Decision_Tree_Classifier.......................................................................................................... .Task 3 of the Prodigy infotech Data science internship
User: manasiwaghmare18
training-dataset,A python utility for downloading Common Crawl data
User: michaelharms
Home Page: https://github.com/michaelharms/comcrawl#readme
training-dataset,Built a Fully Convolutional Neural Network to identify and track a person with a Drone.
User: mostafa-tarek
training-dataset,Generates training Data for financial Neural Networks based on S&P500 listed Stocks.
User: mx-zzz
training-dataset,Traffic signs classifier
User: namadjidku
training-dataset,Google Colab custom object detection training and downloading trained frozen inference graph protobuf file to google drive
User: nandhakishorm
training-dataset,Display an image and text file side-by-side for easy manual caption editing.
User: nenotriple
training-dataset,Urhobo language training text for NLP, ASR and TTS tasks
Organization: niger-volta-lti
training-dataset,Yorùbá language training text for NLP, ASR and TTS tasks
Organization: niger-volta-lti
training-dataset,A trainer to ease the training of Yolov5 models. You just need the dataset, then you're good to go on one command.
User: pedrohusky
training-dataset,NeuralNetwork Language is a console application that uses a single-layer neural network to identify the language of a given text. It trains on data in the trainData folder and predicts the language of texts in the testData folder or manually inputted text. The application supports multiple languages as long as they are correctly labeled.
User: pejpero
training-dataset,Our goal is to create a simple tool using machine learning to help people understand how NFT prices work, specifically focusing on the Pudgy Penguins collection!
Organization: project-3-anvi-maria-and-jacqueline
Home Page: https://docs.google.com/presentation/d/1PGDx3zYDpcDUW4wMAs_VFKhvpY08bwEgjp0JIBRMWXE/edit?usp=sharing
training-dataset,Storage repository for Assistive and Rehabilitative Robotics
Organization: robotology
training-dataset,In this project, I have used Nvidia's CNN model to mimic human driver's behavior using a simulator.
User: sabki
training-dataset,Implementation of Naive Bayes from scratch using Python
User: sadmansakib93
training-dataset,Algoritmo de entrenamiento básico a neurona artificial
User: svs30
training-dataset,A NLP program that predicts the intent of a customer query email.
User: tejasa97
training-dataset,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.
User: tejubapatla
training-dataset,Python Analysis, Model Training and Testing, and Prediction on the Glass Dataset.
User: the-knightts
Home Page: https://www.kaggle.com/code/michaelbryantds/glass-classification
training-dataset,A simple and free-from-overcomplications implementation of artificial neural networks ("ANN") using only Python and NumPy.
User: thraetaona
training-dataset,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.
User: trrt-good
training-dataset,An imageset for object detection of annotated, street-level images from natural disasters.
Organization: um-deluge-capstone
training-dataset,Model can be trained and exported using this code
User: varunveeraa
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