Alex Champandard
Software Engineer at creative.ai
Vienna, Austria
Summary
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RockstarAlex Champandard is a software engineer and AI specialist based in Vienna with 13 years’ experience building deep-learning systems for image processing and real-time applications. He co-founded creative.ai, directs the nucl.ai conference, and is an ex-Senior AI Programmer at Guerrilla Games, blending production-grade game AI with research-driven ML. His open-source work spans neural-enhance (super-resolution using perceptual loss and sub-pixel deconvolution) and neural-doodle (semantic style transfer), plus contributions to Vispy and scikit-neuralnetwork improving visualization, CI and maintainability. Equally comfortable designing model architectures and shipping robust code, he connects research, tooling, and product delivery across ML and graphics.
13 years of coding experience
Github Skills (24)
scipy10
visualization10
convolutional-neural-networks10
python10
image-processing10
machine-learning10
generative-adversarial-network10
super-resolution10
numpy10
lasagne10
deep-learning10
neural-network10
computer-vision10
convolutional-neural-network10
neuralnetwork10
Programming languages (10)
Github contributions (5)
alexjc/neural-doodle
Mar 2016 - Jul 2016
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 185 commits, 10 PRs in 4 months
Contributions summary:Alex implemented a deep neural network model for image processing tasks within the repository. Their contributions included loading and configuring a pre-trained VGG model, creating layers for convolution and pooling, integrating semantic map data, and implementing optimization techniques to generate new images. The user's work involved computing content features and loss functions for the images.
waitstyle-transferartworksneural-networksdoodles
alexjc/neural-enhance
Oct 2016 - Jan 2017
Super Resolution for images using deep learning.
Role in this project:ML Engineer
ML EngineerContributions:5 releases, 101 commits, 25 PRs in 3 months
Contributions summary:Alex developed a super-resolution model for image enhancement using deep learning. Their initial commit introduced a working prototype with perceptual loss, a key element of the model. Subsequent commits involved adding residual blocks to the generator and integrating a discriminator network to improve the model's performance. Finally, they refactored the code to implement sub-pixel deconvolution layers for enhanced image quality.
deep-learningsuper-resolutioncomputervisionresolution
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