GabrielPila

ai_pucp_cert_repo

Personal work done in the Certificate of Application Development with Artificial Intelligence

airflow-tutorial

Apache Airflow tutorial

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

CS50WebDev

Repositorio para guardar avances del curso CS50 Web Development de Harvard

cse210-teamproject

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

desafio_spike_precios

differencial-privacy-gp

Differential privacy experiments, paper implementation and library testing

skmob_mmc_mobility

Implementation of Mobility Markov Chains with the Scikit Mobility Library.

udacity-computer-vision-nanodegree

GabrielPila/skmob_mmc_mobility

Implementation of Mobility Markov Chains with the Scikit Mobility Library.

GabrielPila/udacity-computer-vision-nanodegree

GabrielPila/ai_pucp_cert_repo

Personal work done in the Certificate of Application Development with Artificial Intelligence

GabrielPila/airflow-tutorial

Apache Airflow tutorial

GabrielPila/awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

GabrielPila/CS50WebDev

Repositorio para guardar avances del curso CS50 Web Development de Harvard

GabrielPila/cse210-teamproject

GabrielPila/deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

GabrielPila/desafio_spike_precios

GabrielPila/differencial-privacy-gp

Differential privacy experiments, paper implementation and library testing

GabrielPila/funprog-trabajo-final

GabrielPila/gabrielpila.github.io

GabrielPila/Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

GabrielPila/IMG_scrapers

GabrielPila/kedro

A Python library that implements software engineering best-practice for data and ML pipelines.

GabrielPila/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

GabrielPila/minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

GabrielPila/mmstks-starter

GabrielPila/neural_prophet

NeuralProphet: A simple forecasting package

GabrielPila/pacman-project

GabrielPila/pipelines

Machine Learning Pipelines for Kubeflow

GabrielPila/RASA-fundamentals

GabrielPila/reverse-geocoding

GabrielPila/sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

GabrielPila/scikit-learn

scikit-learn: machine learning in Python

GabrielPila/segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

GabrielPila/Semantic-Shapes

A semantic segmentation pipeline for custom image annotation

GabrielPila/twitter-extractor

GabrielPila/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

GabrielPila/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite