Name: Jan Eric Lenssen
Type: User
Company: Max-Planck Institute for Informatics, Kumo.ai
Bio: Senior Researcher at MPI for Informatics. Founding Engineer at Kumo.AI. Research interests: differentiable programming, algorithms, graphics and vision.
Jan Eric Lenssen's Projects
Caffe: a fast open framework for deep learning.
a software library containing BLAS functions written in OpenCL
Implementation of Deep Graph Matching Consensus in PyTorch
Deep Resource-Aware OpenCL Inference Networks
Pytorch implementation of Group Equivariant Capsule Networks
Recursively mkdir, like `mkdir -p`, but in node.js
Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bojanowski and Joulin.
A deep Q learning demonstration using Google Tensorflow
An Implementation of Fully Convolutional Networks in Tensorflow.
ResNet model in TensorFlow
Voxel grid k-nearest-neighbor queries in PyTorch