Martin Engelcke's starred repositories
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
torchsparse
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
awesome-equivariant-network
Paper list for equivariant neural network
pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
apc-vision-toolbox
MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
survae_flows
Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
machine-learning-flashcards
Machine learning flashcards
visual_foresight
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
object-centric-representation-benchmark
Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".
EfficientMORL
EfficientMORL (ICML'21)