Projects with this topic
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The project entailed building an image classification model using PyTorch, integrated with Azure ML for data handling, model training, and deployment. Key steps included initializing Azure ML Workspace, processing the dataset, developing the model in PyTorch, and deploying it on Azure for real-world inference. This project showcases the synergy between advanced machine learning frameworks and cloud computing platforms in solving complex image classification tasks.
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Population density tracker using Computer Vision.
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En este trabajo se varían distintos hiperparámetros de una CNN para mejorar la clasificación multiclase de imágenes
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Implementation of "Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images" (Xie et al., IJCV 2020)
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Train YOLOv5 for breed classification on Oxford Pets III dataset from scratch on Google Colab, and serve through Dockerized implementation of a flask-based HTML/JS frontend and an asynchronous API service on FastAPI. Use of MLFlow for logging.
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Fashion MNIST linear classification model with Keras 3.0 and PyTorch
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Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información
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Copy of my kaggle notebooks from account for that time
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Simple docker code that trains custom GAN network to generate images (bad quality, but quite fast in docker)
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Final project of course ML junior by Skillbox. Goal: Build model to predict client's loan default. Metrics: ROC-AUC
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This is a demo of my angular application for grammatical error correction with transformers based on multilingual Bart correction. The model is trained in 4 languages:
Italian English Russian GermanUpdated -
Code and data for Natural Language Processing in Action, 2nd Edition, by Maria Dyshel and Hobson Lane for Manning Publications
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This is a test task for Longevity InTime AI powered company.
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This is a project to train, use and analyze 2D and 3D neural networks for segmentation. It contains a UI and is implemented in pytorch and django as backend.
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A collection of Team Builder and Meta-Game balance agents for the VGC AI Competition.
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Wound Detection Transfer yolov5_wound(#29456752) to Android application
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Federated learning project. Using python , pytorch , Flower , Mlflow , Docker Create architecture to create , deploy model with Flower( binary classification) .
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