Science Score: 28.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.8%) to scientific vocabulary
Last synced: 7 months ago
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Repository
Master thesis at EPFL
Basic Info
- Host: GitHub
- Owner: sergeivolodin
- Language: TeX
- Default Branch: master
- Size: 1.94 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Created about 5 years ago
· Last pushed almost 5 years ago
Metadata Files
Readme
Citation
README.md
Sergei Volodin's Master thesis at EPFL
Done at the Laboratory of Computational Neurosciences (LCN) of the IC/SV school in 2020-2021.
First parts of the project are:
- A semester project at LCN (Spring 2020)
- An internship project at Google Research (Fall 2019)
Code is located in a github repository sergeivolodin/causality-disentanglement-rl
Advised by Dr. Johanni Brea and Prof. Wulfram Gerstner.
Owner
- Name: Sergei Volodin
- Login: sergeivolodin
- Kind: user
- Location: Switzerland
- Website: sergeivolodin.github.io
- Repositories: 1
- Profile: https://github.com/sergeivolodin
Citation (citations.py)
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import bibtexparser
import numpy as np
from matplotlib import pyplot as plt
# In[3]:
with open('thesis.bib') as bibtex_file:
bibtex_str = bibtex_file.read()
# In[5]:
bib_database = bibtexparser.loads(bibtex_str)
# In[8]:
years = [int(x['year']) for x in bib_database.entries]
# In[13]:
plt.figure()
plt.hist(years)
plt.yscale('log')
plt.title("Papers in database by year")
plt.xlabel("Year")
plt.ylabel("Papers")
plt.show()
# In[ ]: