YannDubs/Mini_Decodable_Information_Bottleneck YannDubs/Mini_Decodable_Information_Bottleneck

  • Stars
    star
    10
  • Rank 1,797,562 (Top 36 %)
  • Language
    Python
  • License
    MIT License
  • Created about 4 years ago
  • Updated almost 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
YannDubs/Mini_Decodable_Information_Bottleneck
github

YannDubs

Reviews

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

Repository Details

Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.

More Repositories

1

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations
Python
784
star
2

Neural-Process-Family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Jupyter Notebook
193
star
3

Hash-Embeddings

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
Python
189
star
4

lossyless

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
Python
113
star
5

Invariant-Self-Supervised-Learning

Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
Python
40
star
6

SSL-Risk-Decomposition

Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".
Jupyter Notebook
13
star
7

Semi-Supervised-Neural-Processes

Jupyter Notebook
6
star
8

miRNAseq-Analysis

Analyze single-cell miRNA sequencing data from HL-60 cells along a 7-day time-course of ATRA treatment.
R
5
star
9

RAW-Embedings

Novel word embeddings based on a simple and intuitive rolling average. Still in dev mode.
Jupyter Notebook
4
star
10

simulationPopulationGenetics

A general modelisation of Wright Fisher in a context of total biological abstraction. And a specific modelisation of the evolution of the sickle cell anemia in Congo, Cameroon & Gaboon
C++
3
star
11

Infootmation

Visualise european soccer player's data
JavaScript
2
star
12

FourRussiansRNA

Faster algorithms for RNA-folding using the Four-Russians method
C++
2
star
13

npf

Experiments for comparing and understanding different neural processes architectures.
2
star
14

Overlayed-Datasets

Code for generating datasets consisting of overlayed images.
Jupyter Notebook
1
star
15

specialized-attention-mini

Mini Version of Specialized Attention
Python
1
star
16

optimizationCode

Some of the optimisation functions I've implemented: for learning purpose
MATLAB
1
star
17

TicTacToePyTorch

Tic tac toe dataset and PyTorch baseline.
Jupyter Notebook
1
star
18

sigterm-bug

Python
1
star
19

QuoraQuestion

Siamese LSTM for Kaggle competition: Quora Question Pairs
Python
1
star