Giter VIP home page Giter VIP logo

Hi there 👋

"Stay hungry, stay foolish." - Steve Jobs

I am Altaf (She/her)
📍 Global citizen currently enjoying Montréal, Quebec, Canada 🏴󠁣󠁡󠁱󠁣󠁿 🇨🇦.
🏢 Software Engineer and Graduate Research Assistant at Polytechnique Montréal and Sycodal Inc.
💙 I love to code and I enjoy building software systems based on AI.
🤖 I am currently conducting research towards robust ML pipelines that can self-adapt to variations in the production environment.
🔭 Research intersts: Software Quality, Software Engineering for Artificial Intelligence (SE4AI), MlOps, Data drifts and validation, ML Model Validation.
💚 Nature lover 🍂 🌲 ❄️ ⛱️

📚 Education
🎓 2023 - 2025: Msc of Software Engineering, Polytechnique Montréal 🇨🇦
🎓 2021 - 2022: Msc of Information Techniques, ENIT and Technische Universität Braunschweig 🇹🇳 🇩🇪
🎓 2017 - 2022: Bachelor of Software enginnering, INSAT 🇹🇳

Altaf's Projects

2dks icon 2dks

2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

attri-vae icon attri-vae

Generating attribute-based interpretations from medical images

cifar-10.1 icon cifar-10.1

Release of CIFAR-10.1, a new test set for CIFAR-10.

deploying-ml-model-on-aws icon deploying-ml-model-on-aws

Deploy Flask web apps with ML model inference in Docker containers on AWS EC2. Includes setup and scalable deployment instructions.

failing-loudly icon failing-loudly

Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.11953

generative-ai-with-llms icon generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

moa icon moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

mp-dqn icon mp-dqn

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

selfsne icon selfsne

Self-Supervised Noise Embeddings (Self-SNE) for dimensionality reduction and clustering

sputnik icon sputnik

Static code review for your Gerrit patchsets. Runs Checkstyle, PMD, FindBugs, Scalastyle, CodeNarc, JSLint for you!

surface-defect-detection icon surface-defect-detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.