• Stars
    star
    8
  • Rank 2,099,232 (Top 42 %)
  • Language
    Jupyter Notebook
  • Created about 5 years ago
  • Updated about 5 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Introduction to Machine Learning using scikit-learn and PyTorch

More Repositories

1

FrEIA

Framework for Easily Invertible Architectures
Python
761
star
2

ControlNet-XS

Python
433
star
3

ngransac

Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences
Python
305
star
4

LessMore

Learning Less is More - 6D Camera Localization via 3D Surface Regression
C++
258
star
5

dsacstar

DSAC* for Visual Camera Re-Localization (RGB or RGB-D)
C++
243
star
6

DSACLine

Differentiable RANSAC: Learning Robust Line Fitting
Python
218
star
7

conditional_INNs

Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
Python
93
star
8

analyzing_inverse_problems

Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
Jupyter Notebook
82
star
9

esac

ESAC - Expert Sample Consensus Applied To Camera Re-Localization
C++
68
star
10

ngdsac_camreloc

Neural-Guided, Differentiable RANSAC for Camera Re-Localization (NG-DSAC++)
C++
48
star
11

IB-INN

Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
Python
42
star
12

FFF

Free-form flows are a generative model training a pair of neural networks via maximum likelihood
Jupyter Notebook
34
star
13

ngdsac_horizon

Neural-Guided, Differentiable RANSAC for Horizon Line Estimation
Python
33
star
14

GIN

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
Python
31
star
15

HINT

Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
Python
19
star
16

trustworthy_GCs

Materials for the paper https://arxiv.org/pdf/2007.15036.pdf
14
star
17

3dcv-students

Exercises for the lecture "Computer Vision: 3D Reconstruction"
Jupyter Notebook
12
star
18

inn_toy_data

Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods
Python
11
star
19

Coupling-Universality

Jupyter Notebook
10
star
20

gmbench

Code for “A Comparative Study of Graph Matching Algorithms in Computer Vison” (ECCV 2022)
HTML
8
star
21

MLAE

Maximum Likelihood Training of Autoencoders
Jupyter Notebook
8
star
22

libct

A fast approximate primal-dual solver for tracking-by-assignment cell-tracking problems
C++
5
star
23

libmpopt

Library for Message Passing Optimization Techniques
C++
4
star
24

combilp

Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation
Python
4
star
25

Gaussianization-Bound

Code to paper "On the Convergence Rate of Gaussianization with Random Rotations"
Python
3
star