FabianFalck

mfcvae

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

de_vito

Kinematic control algorithms and software for 🦾 DE VITO 🦾: A dual-arm, high degree-of-freedom, lightweight, inexpensive, passive upper-limb exoskeleton for robot teleoperation.

unet-design

Official PyTorch implementation of "A Unified Framework for U-Net Design and Analysis" (NeurIPS 2023).

de_niro

🤖 Robot DE NIRO 🤖 - code base version 2018. Including autonomous navigation, localization, mapping, face -, speech - and object recognition, manipulation, speech I/O, a state machine and a GUI. Integrated with ROS. Presented at iROS 2018.

DeepClustering

Methods and Implements of Deep Clustering

maxl

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning".

DE3-ROB1-CHESS

CHESS Project for DE3 Robotics 1

deniro

This repo is just to save the name. Go to https://github.com/FabianFalck/de_niro to find the code base of Robot DE NIRO.

devito

This repo is just to save the name. Go to https://github.com/FabianFalck/de_vito to find the control software for the DE VITO exoskeleton.

early-stopping-pytorch

Early stopping for PyTorch

FishExplorer

interactive analysis of calcium imaging data from larval zebrafish

gluonts

Probabilistic time series modeling in Python

karpathy.github.io

my blog

latent_factors

LaTeX-examples

Examples for the usage of LaTeX

LearnGerman

mxnet-the-straight-dope

Much easy, so MXNet. Wow.

news-website

personal_website

PRML-Solution-Manual

My Own Solution Manual of PRML

pythonDrills

Contains all python exercises I worked on to practise the language.

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

RLBench

A large-scale benchmark and learning environment.

scikit-learn

scikit-learn: machine learning in Python

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

TCN

Sequence modeling benchmarks and temporal convolutional networks

tseval

[NOT RELEASED YET] Python module for evaluating the performance of time series classification and regression machine learning models in Python. Contains plots and scalar metrics that are particularly useful on time series data.

Udacity_AssociateAndroidDeveloperFastTrack

unet-vdvae