lemgarouani's Projects
Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
Moroccan Sentiment Analysis corpus
A framework to automatically select the XAI solution you need
Reading list for research topics in multimodal machine learning
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
My settings for Hugo Academic (wowchemy)
Open-source demos hosted on Dash Gallery
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Collection of data science projects in Python
Notes for a course in data science using Python. Work in progress
List of papers, code and experiments using deep learning for time series forecasting
Example of a Dash application applied to e-commerce data to represent key metrics in the form of an interactive dashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A pure python implementation of fuctional ANOVA algorithm.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
Meta-Learning of Neural Architectures for Few-Shot Learning
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
This is the repository for MMASD: A Multimodal Dataset for Autism Intervention Analysis.