Data and tools for generating and inspecting OLMo pre-training data.
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May 30, 2025 - Python
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machile-learning
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SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)
python networking random-forest virtualization sdn sdn-controller hacktoberfest sdn-network mininet sdn-switch knn-classification ryu-controller machile-learning ryu-sdn-controller
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Mar 22, 2025 - Python
How to improve a 14% your image matching with only one line of code? BEBLID is the key!
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Dec 13, 2022 - Jupyter Notebook
A Hand Written Digit Recognition app trained on the MNIST dataset of Keras using the CNN model. skills used are Tensorflow, HTML,CSS,javascript.
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Jun 21, 2020 - Jupyter Notebook
Front end for Heart Disease Analysis and Prediction Project
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Jul 26, 2024 - HTML
Proyecto de entrenamiento de modelos de IA con aprendizaje por refuerzo (reinforcement learning) en Unity. Corresponde al trabajo práctico grupal de la materia INTELIGENCIA ARTIFICIAL (9525) de la Facultad de Ingeniería de la Universidad de Buenos Aires. Link a la demo (el comportamiento de los agentes puede verse afectado de forma negativa):
reinforcement-learning unity basketball pytorch english spanish tensorboard football ia portuguese agents 3d walker volleyball ppo ml-agents machile-learning
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Jun 29, 2023 - C#
Stroke-GFCN: segmentation of Ischemic brain lesions
deep-learning segmentation vessel-segmentation brain-imaging fully-convolutional-networks medical-image-processing geometric-deep-learning unet-image-segmentation machile-learning stroke-prediction
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Jul 17, 2023 - Jupyter Notebook
MLP Regression model to predict quantitative data
python tutorial deep-learning notebook tensorflow keras regression data-visualization data-analysis feedforward-neural-network mlp regression-models keras-tensorflow mlp-classifier machile-learning tensorflow2
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Jan 16, 2023 - Jupyter Notebook
💻 Personal blog/website, built using Jekyll & Github pages.
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Jun 3, 2022 - SCSS
Clone your favorite voice for your script
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Mar 24, 2023 - Python
Kaggle Competition...
keras kaggle kaggle-competition classification predictive-modeling keras-models keras-neural-networks blindness keras-tensorflow machile-learning
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Nov 23, 2021 - Jupyter Notebook
SMOTE-MR: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data which applies a MapReduce based-approach. SMOTE-MR is categorized as an `approximated/ non exact` solution. Also, there is an `exact` solution called SMOTE-BD written by the author (See: https://github.com/majobasgall/smote-bd)
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May 3, 2019 - Scala
Master's program ''Machine learning and high-load networks'' at the Higher School of Economics.
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Dec 11, 2022 - Jupyter Notebook
Real-Estate Price Predictor is a machine learning project developed to assist users in estimating the price of real estate properties based on various features such as location, size, amenities, etc. The project utilizes supervised learning algorithms to train models on historical real-estate data and predicts prices for new properties.
python jupyter scikit-learn scikitlearn-machine-learning house-price-prediction tens machile-learning
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Mar 13, 2024 - Jupyter Notebook
This project focuses on detecting Diabetic Retinopathy (DR) from retinal images using machine learning models. The goal is to classify images based on the severity of DR using deep learning techniques. This project uses models like ResNewt50, VGG16, InceptionV3.
python neural-network artificial-intelligence transfer-learning keras-neural-networks keras-tensorflow cnn-classification machile-learning
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Sep 23, 2024 - Jupyter Notebook
A program made using DeepAI and python for smart refrigerator for HackWithInfy Hackathon
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Aug 21, 2019 - Python
[IN DEVELOPMEN] JavaScript AI engine Focused on simplicity of use
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Nov 4, 2023 - JavaScript
Self-driving toy car built in C++ with raspberry pi, opencv, and tensorflow.
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Mar 6, 2022 - C++
To give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks while keeping the projected cost from our study in mind. I am considering variables as age, sex, BMI, number of children, smoking habits and living region to predict.
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May 24, 2023 - Jupyter Notebook
This project estimates tree crown volumes using 3D modeling and high-resolution LiDAR datasets (AHN4 and Kavel_10) in Nijmegen, Netherlands. The study focuses on tree detection, biophysical parameter estimation, and crown volume mapping, highlighting applications in urban green space management and ecosystem services. Tools: Python, LiDAR, GIS soft
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Oct 18, 2024 - Python
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