Charaf ZGUIOUAR's Projects
Sample Angular application used in the "Angular: Getting Started" course: http://bit.ly/Angular-GettingStarted
Angular Projects - Second Edition, published by Packt
3 projects, code and documents
A curated list of roadmaps covering different skills data science & AI careers and skills
A collection of the most important Github repos for ML, AI & Data science practitioners
A curated list of causal inference libraries, resources, and applications.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
π°οΈ List of satellite image training datasets with annotations for computer vision and deep learning
Papers for Bayesian-NN
A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"
Binomial Tree for option pricing in C++
Implementation of the famous Black-Litterman model in Jupyter notebook
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Here you will find materials for the course of Computational Finance
Computional Finance class projects
Computer Vision Coursera
Lightweight, useful implementation of conformal prediction on real data.
This is a repo with links to everything you'd ever want to learn about data engineering
Resoruce to help you to prepare for your comming data science interviews
darija <-> english dataset
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for GPU), TensorFlow 2 for GPU, PyG and NVIDIA RAPIDS
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Notebooks that replicate original quantitative finance papers from Emanuel Derman
Option pricing.