Carlos Leyson's repositories
Dissertation-Final
Design and Implementation of an Embedded Fuzzy Multi-criteria Group Decision Making System for Wellbeing, Health and Security
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
darts
A python library for user-friendly forecasting and anomaly detection on time series.
Data-Engineering-Nanodegree
Udacity Data Engineering Nanodegree
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
dsbook
Code samples for the Effective Data Science Infrastructure book
fastai_cll
Personal projects for the fastai course
fastbook
The fastai book, published as Jupyter Notebooks
fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
llm-finetuning
Guide for fine-tuning Llama/Mistral/CodeLlama models and more
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
ml-powered-applications
Companion repository for the book Building Machine Learning Powered Applications
ML_Bootcamp_CLL
Notebooks from the ML Bootcamp organized by Google Developers Launchpad.
nba-monte-carlo
Monte Carlo simulation of the NBA season, leveraging meltano, dbt, duckdb and superset
no-ops-machine-learning
A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
Pair-Trading
Selection of a Pair Trading Portfolio based on Cointegration for Mexico's IPC 2006-2012
pytorch-Deep-Learning
Deep Learning (with PyTorch)
pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
taxi-demo-rp-mz-rv-rd-st
🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations
testing-and-monitoring-ml-deployments
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
you-dont-need-a-bigger-boat
An end-to-end implementation of intent prediction with Metaflow and other cool tools
zenml
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.