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Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)
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This project aims to develop a robust and interpretable machine learning model for early detection of cyberattacks within network systems. By analyzing network traffic data and identifying patterns associated with malicious activities, the model strives to improve network security and prevent potential cyber threats.
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projects / Lung Cancer Detection
GNU General Public License v3.0 or laterPulmo is a web-based application that provides an easy-to-use interface for users to input their medical history and other relevant data to get a prediction of their risk of developing lung cancer. The project has also highlighted the importance of data preprocessing and feature selection in improving the performance of machine learning algorithms. Exploratory data analysis was also useful in identifying the most relevant features for predicting lung cancer.
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API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes People Photo Background Removal API provided by API4AI.
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biq / piper-whistle
BSD 2-Clause "Simplified" LicenseA CLI tool to query and install different language voices for piper speech synthesizer (https://github.com/rhasspy/piper)
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Brett Tolbert / verbecc
OtherComplete Conjugation of any Verb in French, Spanish, Catalan, Portuguese, Italian and Romanian powered by Machine Learning
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Antonio Prates / whisper-server
MIT Licenseaudio transcription using OpenAI's whisper-large-v2, deployed as a containerized service
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A simple spectral clustering example made with Python.
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Auctions & bids online live system
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Secure Machine Learning / SecML
Apache License 2.0A Python library for Secure and Explainable Machine Learning
Documentation available @ https://secml.gitlab.io
Follow us on Twitter @ https://twitter.com/secml_py
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Syetem to predict taxi fare in bhutan
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[Uc3m] The Classic ghost-eating game
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Jax package to work with spiking neural networks.
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It contains all my projects I made in the past 2 years, including smaller programs and bigger applications, from backend to frontend, mainly coded in Java and Python.
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An Active Learning framework for Drug Discovery with the ability to create targeted models for particular experiments
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In MT-BERT we reproduce a neural language understanding model which implements a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple NLU tasks.
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