lfelipecas Goto Github PK
Name: L. Felipe Castañeda G.
Type: User
Location: Manizales, Caldas, Colombia
L. Felipe Castañeda G.'s Projects
ai_course_assignments
chivito
Implementación de un LLM basado en Llama finetuneado en español empleando los datos de Alpaca traducidos al español
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
course22p2
course.fast.ai 2022 part 2
deep-learning-with-pytorch-lightning
Getting Started with PyTorch Lightning, Published by Packt
diplomado
Este es un repositorio creado para el diplomado en Inteligencia Artificial y Aprendizaje Profundo
diplomado-avanzado
diplomado-ciencia-de-datos
Repositorio del Diplomado de Ciencia de Datos
ftwp
Jupyter Notebooks and code for the book Financial Theory with Python (O'Reilly) by Yves Hilpisch.
handson-ml3
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.
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
or_hillier_lieberman_python
This repository contains the Python code to solve some examples from the Spanish Ninth edition textbook 'Introduction to Operations Research' by Frederick S. Hillier and Gerald J. Lieberman.
pcc
Resources for Python Crash Course, from No Starch Press.
pcc_3e
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
py4at
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
pythonprogrammingpuzzles
A Dataset of Python Challenges for AI Research
stock_prediction
supervised-learning-final-project
tareas_diplomado_ciencia_datos
This repository is used to uploud the assignments for the Universidad Nacional Data Science Course
timeseriesforecastinginpython
uao-neumonia
uao_ai_cloud_computing
water-forecast
Machine learning models applied to water demand forecasting in the City of London.
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