santiviquez

ageml

Study the temporal performance degradation of machine learning models.

Deep-Learning-Udacity-Foundations

frank-wolfe-svm

Frank Wolfe methods for SVM training

Grokking-Deep-Learning-Practice

This repo contains all practices made in the Deep Learning Book form Grokking

harry-potter-rnn

Harry Potter Deep Learning Experiment

iris-streamlit

lie-detection

Using 13 datasets from 13 different phycological tests to identify fake answers. Analyse if predictors are unreliable and model dependent.

nannyml

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

noisy-human-recognition

Recognized non-speech human sounds such as: clapping, footsteps, brushing teeth, drinking sipping, laughing, etc

santiviquez/ageml

Study the temporal performance degradation of machine learning models.

santiviquez/harry-potter-rnn

Harry Potter Deep Learning Experiment

santiviquez/iris-streamlit

santiviquez/lie-detection

Using 13 datasets from 13 different phycological tests to identify fake answers. Analyse if predictors are unreliable and model dependent.

santiviquez/Deep-Learning-Udacity-Foundations

santiviquez/Grokking-Deep-Learning-Practice

This repo contains all practices made in the Deep Learning Book form Grokking

santiviquez/noisy-human-recognition

Recognized non-speech human sounds such as: clapping, footsteps, brushing teeth, drinking sipping, laughing, etc

santiviquez/diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

santiviquez/frank-wolfe-svm

Frank Wolfe methods for SVM training

santiviquez/nannyml

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

santiviquez/approach-ml-problem

Code and exercices from the Abhishek Thakur book: Approaching (Almost) Any Machine Learning Problem

santiviquez/conversation-summarization

santiviquez/data-science-from-scratch

Code for 'Data Science From Scratch' book

santiviquez/data-science-interviews

Data science interview questions and answers

santiviquez/data-science-trivia

santiviquez/Fisica-Estadistica

santiviquez/hallucinations-in-nmt

santiviquez/ivy

The Unified Machine Learning Framework

santiviquez/maple-vs-dogs

santiviquez/sample_datasets

Sample Datastets

santiviquez/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

santiviquez/uber-trips

Simple python script that transforms personal uber trips data in the necessary way to make a pretty Data Studio dashboard

santiviquez/usepandas