Jose Miguel Arrieta (jmarrietar)

jmarrietar

Geek Repo

Company:Universidad Nacional de Colombia

Location:Bogota-Colombia

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Jose Miguel Arrieta's repositories

SIVA

Evaluation of weakly supervised learning paradigms in automatic visual inspections of defects in textures

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tfr_image

An experimental minimal tool to create TFRecords from a small dataset of images

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treex

A Pytree Module system for Deep Learning in JAX

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120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

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bq

Bigquery complementary code examples

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create_tfrecords

A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim

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databases

Homework code for Advance Databases class 2020-2

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deep_learning_recsys

Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture

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elegy

A High Level API for Deep Learning in JAX

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evalRS-CIKM-2022

Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems

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fixmatch

A simple method to perform semi-supervised learning with limited data.

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FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

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Knowledge-Distillation-in-Keras

Demonstrates knowledge distillation for image-based models in Keras.

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Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

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learnopencv

Learn OpenCV : C++ and Python Examples

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lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

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merlin

Data Engineering and Data Analysis

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mineria-de-datos

Avances de Proyecto de Mineria de Datos UNAL 2021

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qmc

Quantum measurement classification

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recommenders

Best Practices on Recommendation Systems

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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SimCLR-1

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

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tensorflow-recorder

TFRecorder makes it easy to create TensorFlow records from DataFrames and CSVs

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