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Hi there! 👋 I am a Data Scientist with a strong background in natural sciences and experience researching and productionalizing machine learning projects. I currently work as a data scientist in Brussels, Belgium. This is my personal page containing repositories of projects I work on in my spare time. As a former researcher, I like to delve into things to understand how they work. I also enjoy learning and working with new technological tools!

My current interests are:

  • 🤖 Machine learning: implementing neural networks in PyTorch
  • 🐎 MLOps: deploying and maintaining machine learning models
  • 📈 Conformal Predictions: an Uncertainty Estimation Algorithm
  • 👨‍🔬 Open Data analytics and Data Science for social good

My techological stack consists of:

  • 💻 Programming language: 🐍 Python
  • 🤖 Machine learning: PyTorch, Scikit-learn
  • 🐎 Deployment: Docker, Kubernetes, MLFlow
Python  Pytorch  Sklearn  Git        Bash  FastApi   

🔥 My Stats:

Anurag's GitHub stats

Max's Projects

annotated_deep_learning_paper_implementations_fork icon annotated_deep_learning_paper_implementations_fork

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

causalpy icon causalpy

A Python package for causal inference in quasi-experimental settings

co-pilot icon co-pilot

Machine Learning Based Real-Time Traffic Light Alert on Your Car with Raspberrypi

conforml icon conforml

Implementation of conformal algorithms for uncertainty estimation in Machine Learning

dalle-pytorch icon dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

fdtoolbox_py3 icon fdtoolbox_py3

Finite differences toolbox to compute the magneto-electric tensor

kaggle-higgs icon kaggle-higgs

Our development of the logical models for the Higgs boson competition on kaggle. August - September 2014.

ml_hacks icon ml_hacks

Приёмы в машинном обучении

nonconformist icon nonconformist

Python implementation of the conformal prediction framework.

palm-rlhf-pytorch icon palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

passive-investing icon passive-investing

Investigate passive and active investing strategies for major world stock indexes

precise icon precise

World beating online covariance and portfolio construction.

quantstats icon quantstats

Portfolio analytics for quants, written in Python

skaffold-helm-tutorial icon skaffold-helm-tutorial

Hands on tutorial to learn docker, kubernetes, helm and skaffold. Ideal as a next step in your learning experience after getting some theory (various youtube series are available, like the ones from vmware or ibm)

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