• Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created almost 5 years ago
  • Updated over 4 years ago

Reviews

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

Repository Details

Tic tac toe dataset and PyTorch baseline.

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
114
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

Mini_Decodable_Information_Bottleneck

Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
Python
10
star
8

Semi-Supervised-Neural-Processes

Jupyter Notebook
6
star
9

miRNAseq-Analysis

Analyze single-cell miRNA sequencing data from HL-60 cells along a 7-day time-course of ATRA treatment.
R
5
star
10

RAW-Embedings

Novel word embeddings based on a simple and intuitive rolling average. Still in dev mode.
Jupyter Notebook
4
star
11

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
12

Infootmation

Visualise european soccer player's data
JavaScript
2
star
13

FourRussiansRNA

Faster algorithms for RNA-folding using the Four-Russians method
C++
2
star
14

npf

Experiments for comparing and understanding different neural processes architectures.
2
star
15

Overlayed-Datasets

Code for generating datasets consisting of overlayed images.
Jupyter Notebook
1
star
16

specialized-attention-mini

Mini Version of Specialized Attention
Python
1
star
17

optimizationCode

Some of the optimisation functions I've implemented: for learning purpose
MATLAB
1
star
18

sigterm-bug

Python
1
star
19

QuoraQuestion

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