ml-jku/PlattScaling ml-jku/PlattScaling

  • Stars
    star
    3
  • Rank 3,864,053 (Top 78 %)
  • Language
    Python
  • License
    GNU General Publi...
  • Created over 5 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ml-jku/PlattScaling
github

ml-jku

Reviews

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

Repository Details

Python Package for Platt scaling based on the algorithm according to Lin, Lin and Weng

More Repositories

1

hopfield-layers

Hopfield Networks is All You Need
Python
1,619
star
2

hopular

Hopular: Modern Hopfield Networks for Tabular Data
Python
299
star
3

cloob

Python
147
star
4

DeepRC

DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
Python
105
star
5

clamp

Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Python
77
star
6

HopCPT

Conformal Prediction for Time Series with Modern Hopfield Networks
Python
60
star
7

sars-cov-inhibitors-chemai

Large-scale ligand-based virtual screening for potential SARS-Cov-2 inhibitors using a deep neural network
52
star
8

helm

Python
48
star
9

rudder

RUDDER: Return Decomposition for Delayed Rewards
43
star
10

L2M

Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
Python
42
star
11

mhn-react

Modern Hopfield Network (MHN) for template relevance prediction
Jupyter Notebook
41
star
12

mc-lstm

Experiments with Mass Conserving LSTMs
Python
38
star
13

lsc

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
C++
33
star
14

hyper-dti

HyperPCM: a HyperNetwork approach to drug-target interaction (DTI) prediction.
Python
30
star
15

cloome

Jupyter Notebook
28
star
16

MAE-CT

Python
27
star
17

quam

Quantification of Uncertainty with Adversarial Models
Jupyter Notebook
26
star
18

semantic-image-text-alignment

Python
22
star
19

MIM-Refiner

A Contrastive Learning Boost from Intermediate Pre-Trained Representations
Python
21
star
20

align-rudder

Code to reproduce results on toy tasks and companion blog for the paper.
Python
20
star
21

rudder-demonstration-code

Code for demonstration example-task in RUDDER blog
Python
19
star
22

hopfield-boosting

Jupyter Notebook
19
star
23

oeaw_ai_summer_school

Introduction to Machine Learning and Neural Networks, including NNs, CNNs, RNNs, AE, VAE, and GAN
18
star
24

subgd

Code for "Few-Shot Learning by Dimensionality Reduction in Gradient Space"
Jupyter Notebook
14
star
25

chef

Python
14
star
26

reactive-exploration

Code for the paper "Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning"
Python
14
star
27

MHNfs

Jupyter Notebook
13
star
28

mgenerators-failure-modes

Shows some of the ways molecule generation and optimization can go wrong
Jupyter Notebook
13
star
29

UPT

Code for the paper Universal Physics Transformers
Python
13
star
30

hti-cnn

Python
11
star
31

vnegnn

Python
11
star
32

tensorflow-layer-library

Tensorflow Layer Library (TeLL)
Python
10
star
33

VAG-CO

Python
10
star
34

gapnet-pl

Python
8
star
35

bgnn

Python
6
star
36

melvin

Python
4
star
37

GNN-VPA

A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Python
4
star
38

TPDistance

Computation of 3D Triangle Point Distances (on a GPU)
Python
3
star
39

haprfn-R

R
2
star
40

covid

Python
1
star
41

ExCAPE

Code for DNNs in the ExCAPE-Project
Python
1
star
42

DIffUCO

1
star
43

blog-post-performer

Blog post to the Performer paper including exemplary notebooks
1
star
44

ml-jku.github.io

Repository for the website of Institute for Machine Learning, Linz.
JavaScript
1
star
45

convex-init

Code for Principled Weight Initialisation for Input-Convex Neural Networks
Python
1
star