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Hey there! 👋

Who am I?

  • Deep Learning Research Engineer at Smart Eye
  • B.Sc. in Engineering Physics and M.Sc. in Complex Adaptive Systems

What do I like to do?

  • Train models that do useful things
  • Create websites that people enjoy
  • Build awesome software
  • Explore and learn new areas

What am I currently curious about?

  • Computer vision 👁️
  • NLP and transformers 📖🤖
  • MLOps 🏭
  • Web dev 💻
  • Genomics 🔬

Linkedin

Jonathan Bergqvist's Projects

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep3dfacerecon_pytorch icon deep3dfacerecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

emoj-e icon emoj-e

Stable diffusion fine-tuned to generate Slack emojis

lightning-hydra-template icon lightning-hydra-template

PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pic2react icon pic2react

Generate React code from picture of rendered component

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

sails-inverse-model icon sails-inverse-model

Generate views, models and controllers for SailsJS from MySQL, PostgreSQL and MongoDB

www.mlcompendium.com icon www.mlcompendium.com

The Machine Learning & Deep Learning Compendium is an open-source knowledge-sharing project compiled using Gitbook.

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