João Granja's repositories
AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
CarND-Behavioral-Cloning-P3
Starting files for the Udacity CarND Behavioral Cloning Project
CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
CIFAR100_ImageClassification
Project to build, train and evaluate deep learning models for image classification task
Semantic_Segmentation
Project to build, train and evaluate deep learning models for semantic segmentation task
CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
CarND-Path-Planning-Project
Create a path planner that is able to navigate a car safely around a virtual highway
DALEX
moDel Agnostic Language for Exploration and eXplanation
DataScience_Bowl_2018
Data science project for '2018 Data Science Bowl' Kaggle competition
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
dodo
Scaffold for ATC agents
ExoplanetPy
ExoplanetPy is a python package for modelling the transit light curves of systems with multiple exoplanets orbiting around their host stars.
fairlearn
A Python package to assess and improve fairness of machine learning models.
fairmodels
Flexible tool for bias detection, visualization, and mitigation
JoaoGranja
Config files for my GitHub profile.
nd013-c1-vision-starter
Starter Code for the Course 1 project of the Udacity Self-Driving Car Engineer Nanodegree Program
optimum
🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools
P1_Facial_Keypoints
First project for CVND: facial keypoint detection.
readme-template
README.md template for your open-source project
SimCLR
Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.