Machine Learning inference engine for Microcontrollers and Embedded devices
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Updated
Jul 7, 2024 - Python
Machine Learning inference engine for Microcontrollers and Embedded devices
This repository contains my machine learning models implementation code using streamlit in the Python programming language.
DNA methylation for tumor subclassifications by methylation array.
multi-locus sequence type clade classifier for Clostridioides difficile
email spam classification is to identify and filter out unwanted emails,
Customer churn prediction is the process of using data analysis and machine learning techniques to forecast which customers are likely to stop using a product or service.
🌟 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes.
we predict diabetes using DNNClassifier
Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral
Naive Bayes Text Classifier
An emotion classifier of text containing technical content from the SE domain
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
licensechecker (lc) a command line application which scans directories and identifies what software license things are under producing reports as either SPDX, CSV, JSON, XLSX or CLI Tabular output. Dual-licensed under MIT or the UNLICENSE.
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
Deanonymizing Tor or VPN users with website fingerprinting and machine learning.
A co-authored project (lead author & researcher: Karlina Denistia, Ph.D.) on a corpus-based, distributional-semantic study of Indonesian Classifier. This repository tracks the versioning of the R codes for cosine similarity analyses performed by @gederajeg. See the OSF link below for the complete set of materials.
Our goal is to train a classifier that can predict the CEFR level of any given sentence. In this notebook we will use 🤗Hugging Face and its transformers library as the training framework, with Pytorch as the deep learning backend.
Find whether the given image if of a CAT or DOG
Probabilistic Scoring System – a probabilistic & incremental extension to Scoring Systems
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