Jose Miguel Arrieta's repositories
treex
A Pytree Module system for Deep Learning in JAX
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
create_tfrecords
A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim
deep_learning_recsys
Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
elegy
A High Level API for Deep Learning in JAX
evalRS-CIKM-2022
Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
fixmatch
A simple method to perform semi-supervised learning with limited data.
FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Knowledge-Distillation-in-Keras
Demonstrates knowledge distillation for image-based models in Keras.
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
learnopencv
Learn OpenCV : C++ and Python Examples
lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
mineria-de-datos
Avances de Proyecto de Mineria de Datos UNAL 2021
qmc
Quantum measurement classification
recommenders
Best Practices on Recommendation Systems
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
SimCLR-1
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
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
tensorflow-recorder
TFRecorder makes it easy to create TensorFlow records from DataFrames and CSVs