Issam H. Laradji

sps. Official code for the Stochastic Polyak step-size optimizer

sls. Implements stochastic line search

M-ADDA. Domain Adaptation Based on the Triplet Loss

NeuralNetworks. Multi-layer Perceptron

BlockCoordinateDescent. Code for the paper "Let’s Make Block Coordinate Descent Go Fast"

covid19_weak_supervision. WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images

cownter_strike. Python

CBStyling. Styling individual objects in an image

affinity_lcfcn. Python

GP_DRF. Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019

wisenet. Python

looc. Python

ada_sls. Python

ssn. Official code for Stochastic Second Order Methods under Interpolation paper

elastic_transform. Python

CoordinateDescent_ICML2015. Python

demo_image_classification. Python

SSR. Python

scikit-learn. scikit-learn: machine learning in Python

PrettyPlots. Python

cool-ai-scripts. Python

awesome-deep-research.

chat_summarization_tutorial. Python

extreme-learning-machines. Python

mirror-sps. Python

IssamLaradji.

diff_rendering. Python

Kaczmarz_UAI2016. Python

semantic_segmentation_template. Python

FCN_CRF. Python

image_classification_template. Python

CourseLM.

omniscient. HTML

deep_research_ai_minimal. HTML

semantic_segmentation. Python

markdeep-slides. Build presentation slides with Markdeep and present them right in your browser.

ai_medical_system. HTML

HomeworkGrader. Python

maskrcnn-benchmark. Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

DAGAN. DAGAN: Data Augmentation Generative Adversarial Networks

visdom. A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

CCNN. Convexify Convolutional Neural Networks