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2021_optimization_and_ml

USPAS course on optimization and machine learning

ai-memes

:trollface: Generating memes using deep learning

augly

A data augmentations library for audio, image, text, and video.

curso-series-temporales

cv-pretrained-model

A collection of computer vision pre-trained models.

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

instagram_private_api

A Python library to access Instagram's private API.

keras-retinanet

Keras implementation of RetinaNet object detection.

machine_learning_examples

A collection of machine learning examples and tutorials.

memegen

The free and open source API to generate memes.

nacar.et.al.2017.scientific.reports

Code repository and databases of the submitted paper: "You sound familiar to me! Evoked and oscillatory EEG activity differentiates language discrimination in young monolingual and bilingual infants"-Scientific Report. Copyright © 2017, UPF. All Rights Reserved

openai-cookbook

Examples and guides for using the OpenAI API

opencv-with-python-by-example

OpenCV with Python By Example, published by packt

pydrift

How do we measure the degradation of a machine learning process? Why does the performance of our predictive models decrease? Maybe it is that a data source has changed (one or more variables) or maybe what changes is the relationship of these variables with the target we want to predict. `pydrift` tries to facilitate this task to the data scientist, performing this kind of checks and somehow measuring that degradation.

python_foundations_course

Curso para aprender Python desde cero.

unbalanced_problems

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS