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Fabian Schuetze's Projects

3detr icon 3detr

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

adanet icon adanet

Fast and flexible AutoML with learning guarantees.

algs4-1 icon algs4-1

Algorithms, 4th edition textbook code and libraries

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

caffe icon caffe

Caffe: a fast open framework for deep learning.

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cosypose icon cosypose

Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.

cuda-convnet icon cuda-convnet

My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

cuda-convnet2 icon cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

dataframe-1 icon dataframe-1

C++ DataFrame -- R's and Pandas DataFrame in modern C++ using native types, continuous memory storage, and no virtual functions

deadstores icon deadstores

A Valgrind tool for finding redundant loads/stores

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detrex icon detrex

detrex is a research platform for Transformer-based Instance Recognition algorithms including DETR (ECCV 2020), Deformable-DETR (ICLR 2021), Conditional-DETR (ICCV 2021), DAB-DETR (ICLR 2022), DN-DETR (CVPR 2022), DINO (ICLR 2023), H-DETR (CVPR 2023), MaskDINO (CVPR 2023), etc.

doc2vec icon doc2vec

Tutorial and review of word2vec / doc2vec

dsnd-capstone icon dsnd-capstone

DSND Capstone: Anomaly detection and forecasting of permeate breakthrough

eddy icon eddy

eddy - autocorrect for java

eki_examples icon eki_examples

KRL example applications for accessing an rc_visard/rc_cube from a KUKA robot controller (KSS)

equi_q_corl21 icon equi_q_corl21

This repository contains the code of the paper Equivariant Q Learning in Spatial Action Spaces

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