Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by FPT-ThaiTuan
A curated list of projects in awesome lists by FPT-ThaiTuan .
https://github.com/fpt-thaituan/detect-yoga-poses-and-correction-in-real-time-using-machine-learning-algorithms
Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.
blazepose computer-vision deep-learning long-short-term-memory lsmt machine-learning pose-estimation support-vector-machines svc-model yoga-classfication
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/predicting-housing-prices-and-analyzing-real-estate-market-in-the-chicago-using-machine-learning
This project leverages machine learning to predict housing prices and analyze key trends in Chicago's real estate market. By examining historical data and socio-economic factors, it aims to provide insights for buyers, sellers, and investors, supporting informed decision-making in a dynamic market.
ai house-price-prediction linear-regression machine-learning matplotlib numpy random-forest
Last synced: 28 Nov 2024
https://github.com/fpt-thaituan/traffic-sign-classification-using-transfer-learning-with-resnet152v2
Utilizing ResNet152V2 for Traffic Sign Classification: Achieve High Accuracy in Identifying 52 Sign Types with 99% Precision
classification cnn computer-vision resnet152v2 traffic-sign-classification transfer-learning
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/using-support-vector-machine-to-automatically-take-class-attendance
Use the SVM model to automatically take attendance in class with high accuracy up to 80%
machine-learning support-vector-machines svm
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/image-processing-with-python
Open source resources provide examples and sample source code for performing image processing using the Python programming language and OpenCV library. Reliable and accessible resources for learning and practicing image processing with Python.
cv2-library imp301 opencv processing-images python video-processing
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/transfer-learning-use-inception-v3-for-image-classification
Transfer Learning uses Inception v3 to classify human and horse images with 99.39% accuracy.
classification-image cnn data-generator deep-learning human-and-horse inceptionv3 tensorflow transfer-learning
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/using-word-embeddings-for-twitter-sentiment-analysis
The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language processing, our model achieved a high accuracy of 96.61%. The model was trained on Twitter data and tested on a data comment dataset from Binance.
ai binance-sentiment-analysis depplearning natural-language-processing twitter-sentiment-analysis wordembedding
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/intelligent-email-classification-system-applying-naive-bayes-for-spam-detection
We developed a Naive Bayes model to classify messages as spam or ham. Using TF-IDF for feature extraction, it achieved 98% accuracy, proving effective for email filtering and categorization.
ai deep-learning email-spam machine-learning naive-bayes-classifier
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/transfer-learning-using-inception-v3-for-image-classification
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/lung-cancer-classification-using-support-vector-machine
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/using-deep-learning-to-classify-fruits-using-the-vgg16-model
Classify 8 types of fruit using the VGG16 model with accuracy up to 90%
classification cnn computer-vision deep-learning fruits-classification fruits-vgg16 vgg16
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/applying-machine-learning-to-predict-cancer-patients
This project uses machine learning algorithms to predict cancer based on patient data. By training on features like tumor size and biomarkers, it aims to improve diagnostic accuracy, assist in early detection, and explore automated cancer screening systems for efficiency.
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/use-google-play-scraper-to-crawl-the-google-play-store-for-python
Use google-play-scraper 1.2.6 to collect app reviews.
crawl google-play-scraper natural-language-processing nlp pandas-python
Last synced: 06 Dec 2024
https://github.com/fpt-thaituan/using-deep-learning-to-classify-and-support-yoga-practitioners
Last synced: 06 Dec 2024