data science
Projects with this topic
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This AskAnna demo shows how you can train multiple models, select the best model and use the best model to serve a prediction.
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Code used to process the recorded data
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Curiously enough, the only thing that went through the mind of the bowl of petunias as it fell was Oh no, not again.
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project for module 33.Airflow in the course "Basic Data Science" at Skillbox.
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I created an application using Keras framework to aid doctors in classifying breast tumors as benign or malignant using advanced statistical regression and Neural Networks, supported by a research study to evaluate model performance.
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✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
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✭ MAGNETRON ™ ✭: The official Exploit Database repository
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✭ MAGNETRON ™ ✭:
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorchUpdated -
✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.
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✭ MAGNETRON ™ ✭: HEARING PROXIA. DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
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Funnel provide an easy to use, easy to read framework to create very complex data selections over pandas DataFrames
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This repository contains supplemental code and examples for Hands-On Healthcare Data, by Andrew Nguyen, and published by O'Reilly
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Análisis de publicaciones, grupos, páginas de Facebook para caracterizar mensajes anti-vacunación que buscan ralentizar o limitar el avance de la campaña de vacunación contra el COVID19 en México.
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Análisis de imágenes históricas en campañas, medios y comunicación oficial relacionada con la concientización y difusión de hitos sobre el cambio climático en los últimos 20 años, tanto en contenido como en viralidad y reacciones.
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Análisis de imágenes relacionadas con patrones textiles con diseños de pueblos originarios con la finalidad de identificar su uso desleal o no autorizado por parte de retailers de fast y high fashion, y la subsecuente comunicación de este match y su
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Analysis of pedestrian activity before and during COVID-19 lockdown, using webcam time-lapse from Cracow and machine learning. YOLOv3 and OpenCV.
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Boxs is a python library for automatic handling of data.
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Create python libraries for data scientists, targeted for notebook usage, but not only.
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