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22 Commits
gp ... master

Author SHA1 Message Date
4580f67920 cli autocomplete and defered imports 2023-01-17 23:18:26 +01:00
2f2da60626 Fix curiosity tanh bug 2022-11-30 17:44:12 +01:00
73c7e5e6c2 Syntax Bug fixed 2022-11-19 16:35:04 +01:00
e45423aaa4 Dont show score for tags 2022-11-19 16:28:06 +01:00
9a473edfdc Allow configurable curiosity and bug fixes 2022-11-19 16:18:58 +01:00
1c34d2876f New feature: Dissonance 2022-09-11 18:56:47 +02:00
6af38c686f Updated requirements.txt 2022-07-01 12:19:41 +02:00
5ef60d340e Made README domain independent 2022-06-19 15:18:40 +02:00
29b5959623 Added .idea to .gitignore 2022-06-16 20:31:13 +02:00
4f116bc8bf Remove calice-score from read books 2022-03-20 18:11:56 +01:00
6ebe7d03fc Reduced Calice Score to only 6 digits 2022-03-19 12:21:48 +01:00
8e8592bb29 Added Calice Score; Renamed Calice to Calice Rating 2022-03-19 12:18:14 +01:00
f9c70a8ee4 Fixed bugs in createCaliceColumn 2022-03-19 11:42:27 +01:00
0f35ae691e Info about half-stars added 2022-03-19 11:39:10 +01:00
9193e6b3e6 New command to add calice-column (no half-stars yet) 2022-03-19 11:37:24 +01:00
63895953c0 Allow inserting scores into calibreDB 2022-03-19 11:35:30 +01:00
ac6d85fa99 Enabled Imgs per default; Chrome recommendet 2022-03-08 14:21:36 +01:00
44c0c189d7 Better recommender scores 2022-03-07 13:51:26 +01:00
b75ede5d89 Added a default toggle for --imgs / --no-imgs 2022-03-07 13:26:29 +01:00
84deaa2f64 Better training and reenabled median 2022-03-07 13:21:16 +01:00
26527e83c3 Ignore all neuralWeights endings 2022-02-25 00:46:44 +01:00
2642423289 Revert "implemented neuralBins (performance is bad...)"
This reverts commit bd53a83058.
2022-02-24 20:19:00 +01:00
4 changed files with 532 additions and 225 deletions

3
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@ -2,5 +2,6 @@ __pycache__
*.html
.venv
neuralWeights.json
neuralWeights.json.bak
neuralWeights.json.*
.imgLinkCache.json
.idea

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@ -1,4 +1,4 @@
# CaliGraph
CaliGraph connects to the database of your local Calibre-Instance in order to recommend which unread books are likely to be enjoyed. The recommendations are displayed in a graph which explains the recommendation by showing correlations to previously read books, authors, recommendations by same individuals, tags...
![Screenshot](https://gitea.dominik.roth.ml/dodox/CaliGraph/raw/branch/master/Screenshot_README.png)
![Screenshot](./Screenshot_README.png)

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@ -6,3 +6,9 @@ pyvis
fuzzywuzzy
rake_nltk
ptpython
requests
pandas
plotly
wikipedia
argcomplete
pyzshcomplete