Ivan Reyes's repositories
machine-learning-projects
A repository for Machine Learning, Deep Learning and Data Science projects.
patrones-mlops-comia
Tutorial COMIA 2023 - Patrones de Diseño y MLOps: Fundamentos y Aplicaciones
mlflow-minio-postgres
A template for using MLFlow with MinIO and PostgreSQL
awesome-public-datasets
A topic-centric list of HQ open datasets.
data-analytics-course
A repo for Data Analytics lectures
endoscopycorruptions
The endoscopycorruptions Python package provides utilities to simulate common image corruptions that might occur during endoscopic procedures. This tool is designed to assist in the development and testing of image processing algorithms intended for endoscopic imagery by introducing realistic corruptions into clean images.
jetson-nano-projects
A list of Deep Learning projects for Jetson Nano NVIDIA
batch-image-bg-remover
A simple Graddio App for Batch Image Background Removal
benchmark_VAE
Unifying Generative Autoencoder implementations in Python
crowdsensing-backend
API Server for Crowdsensing App React
deep-learning-principiantes-cinvestav
Fomentando las vocaciones científicas y tecnológicas, 34 Aniversario
delta-data-augmentation
Repository for Extended Abstract at LXAI @ CVPR 2023
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
generative-deep-learning-course
An introduction for generative deep learning
Made-With-ML
Learn how to responsibly deliver value with machine learning.
MAIR
PyTorch implementation of adversarial defenses [Fantastic Robustness Measures: The Secrets of Robust Generalization, NeurIPS 2023].
micai-2023-mlops-tutorial
Explore MLOps in Computer Vision: Covering basics, machine learning principles, specific CV techniques, platforms, data management, model development, and a medical imaging case study. Ideal for those with prior programming knowledge and a basic understanding of ML.
pytorch-Deep-Learning
Deep Learning (with PyTorch)
redes-neuronales-talent-land-umg
Taller de Reconocimiento de Digitos (MNIST) con Redes Neuronales en Talent Land 2022 por la Universidad Marista de Guadalajara (UMG)
scikit-learn-mycopy
scikit-learn: machine learning in Python
web-app-lectures-itesm
Source files of React Native and Angular projects
yamnet_finetun
By incorporating these scripts into the YAMNet code (https://github.com/tensorflow/models/tree/master/research/audioset/yamnet), you can fine-tune the model.