Fabian Falck's Projects
CHESS Project for DE3 Robotics 1
🤖 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.
Kinematic control algorithms and software for 🦾 DE VITO 🦾: A dual-arm, high degree-of-freedom, lightweight, inexpensive, passive upper-limb exoskeleton for robot teleoperation.
Methods and Implements of Deep Clustering
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.
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 for PyTorch
interactive analysis of calcium imaging data from larval zebrafish
Probabilistic time series modeling in Python
my blog
Examples for the usage of LaTeX
The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning".
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.
Much easy, so MXNet. Wow.
My Own Solution Manual of PRML
Contains all python exercises I worked on to practise the language.
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
A large-scale benchmark and learning environment.
scikit-learn: machine learning in Python
Notes and exercise attempts for "An Introduction to Statistical Learning"
Sequence modeling benchmarks and temporal convolutional networks
[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.
Official PyTorch implementation of "A Unified Framework for U-Net Design and Analysis" (NeurIPS 2023).