Dirk Gütlin

Net2Brain. Jupyter Notebook

bluesky-crossposter. An app for crossposting your posts from bluesky to twitter and mastodon

pypc. Predictive coding in Python

predify. Python

ngc-learn. NGC-Learn: Computational Neuroscience and NeuroAI in Python

coding-interview-university. A complete computer science study plan to become a software engineer.

byol-pytorch. Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

openmixup. CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

solo-learn. solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

computer-science. 🎓 Path to a free self-taught education in Computer Science!

skypilot. The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

IIC. TensorFlow Implementation of https://arxiv.org/abs/1807.06653

umap. Uniform Manifold Approximation and Projection

neuropynamics. This repository aims to introduce students at the University of Osnabrück to Neurodynamics, allowing them to interactively investigate several neurodynamic processes using Jupyter Notebooks in Google Colab.

OFA. Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

emgithub. Embed a file from GitHub repository just like GitHub Gist.

tensorflow-2-feature-visualization-notebooks. Feature and class visualization with deep neural networks in tensorflow. Contains deepdream, style transfer, receptive field visualization, convolutional filter visualization, etc.

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

TD3_BC. Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

Independent_Component_Analysis. From scratch Python implementation of the fast ICA algorithm.

eegfaster. Python implementation of FASTER method for EEG artifact rejection

eegadjust. ADJUST method for EEG artifact rejection

agents. TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

TensorFlow-Tutorials. TensorFlow Tutorials with YouTube Videos

deeprl_practice_colab. Preparation for Deep Reinforcement Learning using Google Colab

keras-rl. Deep Reinforcement Learning for Keras.

stable-baselines. A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

neuro_datasci. Action Cognition & Computation Coursework SS2021

mne-python. MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python