hamedmx

-par-word2vec

parallelizing word2vec

privacy

Library for training machine learning models with privacy for training data

recommendation_system

sense2vec

🦆 Use NLP to go beyond vanilla word2vec

YAD-ILP-Tool

A Learning-based Inductive Logic Programming Tool

hamedmx/privacy

Library for training machine learning models with privacy for training data

hamedmx/aistats2024

May 2 - May 4, Valencia, Spain

hamedmx/awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

hamedmx/awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

hamedmx/book

A textbook on informal homotopy type theory

hamedmx/CBL-Mariner

Linux OS for Azure 1P services and edge appliances

hamedmx/conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

hamedmx/conformal_classification

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

hamedmx/Dada

source code of [Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs](http://proceedings.mlr.press/v108/zantedeschi20a.html)

hamedmx/deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

hamedmx/deep_learning_lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

hamedmx/evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

hamedmx/evidential_dl

hamedmx/FedEM

Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

hamedmx/federated-learning-with-pytorch

hamedmx/gretel-synthetics

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

hamedmx/ImageNetV2_pytorch

ImageNetV2 Pytorch Dataset

hamedmx/interpret

Fit interpretable models. Explain blackbox machine learning.

hamedmx/logitnorm_ood

Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

hamedmx/ml-papers

Summaries of papers on machine learning, computer vision etc.

hamedmx/Network-Intrusion-Detection-Using-Machine-Learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

hamedmx/nn-zero-to-hero

Neural Networks: Zero to Hero

hamedmx/ontology-alignment-project

Ontology Alignment Using GNN Project for EE8209 - Intelligent Systems Graduate Coursework at Ryerson University, Toronto, ON

hamedmx/ppuda

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

hamedmx/Proof-of-Learning

hamedmx/t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

hamedmx/TorchCP

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

hamedmx/uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

hamedmx/uncertainty-toolbox

Uncertainty Toolbox: a python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

hamedmx/VectorWorkshop