Steffen Schneider
stes
AI & Statistics for Science & Education. Helmholtz Research Group Leader, Founder @ki-macht-schule | ex-@google PhD fellow, ex- @facebookresearch
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Repos
113
Stars
100
Forks
43
Top Language
Python
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Top Repositories
Enhancing Compressive Sensing with Neural Networks
Feature Aware Normalization - Code for "Context-based Normalization of Histological Stains using Deep Convolutional Features"
Implementing Visual Saliency Models
Scratch-like code editor, build with Qt, C++ and Python
Arch Linux packages to install CPU versions of Mozilla's Deep Speech implementation
Implementation of Feature Aware Normalization in PyTorch
Repositories
113Implementing Visual Saliency Models
Enhancing Compressive Sensing with Neural Networks
No description provided.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
No description provided.
No description provided.
Scratch-like code editor, build with Qt, C++ and Python
Python functions for working with 3D kinematics.
scikit-learn: machine learning in Python
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Arch Linux packages to install CPU versions of Mozilla's Deep Speech implementation
A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
Implementation of Feature Aware Normalization in PyTorch
Associative Domain Adaptation in PyTorch
No description provided.
site for the 1st Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT)
Feature Aware Normalization - Code for "Context-based Normalization of Histological Stains using Deep Convolutional Features"
Analysis of electrophysiological data recorded using Axona and openephys using Python
The personal website framework for Hugo. Demo at
Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Nature Neuroscience
Course at Pfingstakademie 2018
OAuth + JupyterHub Authenticator = OAuthenticator
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
a module for kinematic analysis of deeplabcut outputs
SDK for running DeepLabCut on a live video stream
Coding course materials for Brain-like computation and intelligence
Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
:ledger: Sphinx source parser for Jupyter notebooks
Download a large file from Google Drive (curl/wget fails because of the security notice).
No description provided.