Name: Jonathan Bergqvist
Type: User
Company: Smart Eye
Bio: Interested in AI/ML, web, mathematics, physics and their various intersections.
Research Engineer at Smart Eye
Location: Gothenburg, Sweden
Jonathan Bergqvist's Projects
A curated list of references for MLOps
Curated list to learn the math basics for machine learning
A repo for data science related questions and answers
Tips and tricks to keep in mind when training deep learning models
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
PyTorch ML library
Stable diffusion fine-tuned to generate Slack emojis
Insert image embeddings in vector database and search using approximate nearest neighbour
Who am I?
A curated list of daily/weekly sources for staying up-to-date on machine learning and AI
PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡
Personal project for learning how to deploy ML models using Flask
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Generate React code from picture of rendered component
A collection of simple python mini projects to enhance your python skills
Template for quickly creating a new Python project and publishing it to PyPI.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Generate views, models and controllers for SailsJS from MySQL, PostgreSQL and MongoDB
An implementation of a denoising diffusion probabilistic model using PyTorch Lightning
Can synthetic training data improve performance of other machine learning algorithms?
Notebook showing how to implement and train a transformer for language modeling
The Machine Learning & Deep Learning Compendium is an open-source knowledge-sharing project compiled using Gitbook.