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data science

Collection of containers and orchestration scripts that deploy a complete environment for developing Data Science projects. Developed based on my current needs in my current role.

Ingenieria, ciencia y visualización de Datos con Python y Jupiter Notebook

This AskAnna demo shows how you can train multiple models, select the best model and use the best model to serve a prediction.

Code used to process the recorded data

project for module 33.Airflow in the course "Basic Data Science" at Skillbox.

Data Science Resources

Updated Machine Learning Resources

This work is focused on the prediction of customer departures in telecommunications through data analysis. Departures in telecommunications are a relatively common issue, and if potential customers were detected much earlier, their departure could be prevented in many cases. Our work's mission was to predict such customers' departures by using data analysis and by creating decision models. The eventual model will determine which customers are potentially risky and how big the risk is.

✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...

✭ MAGNETRON ™ ✭: The official Exploit Database repository

✭ MAGNETRON ™ ✭: MAIN BRAIN PROXIA. GPT-3: Language Models are Few-Shot Learners

✭ MAGNETRON ™ ✭: 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.

✭ 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.

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a EMOTION RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).

Funnel provide an easy to use, easy to read framework to create very complex data selections over pandas DataFrames

Filters post metadata from the Danbooru2021 dataset quickly and efficiently. Can be used to select data to train or fine tune machine learning models with.