Code for Keras plays catch blog post
python qlearn.py- Generate figures
Claude COULOMBE ClaudeCoulombe
ClaudeCoulombe
/ Word embeddings via PMI-matrix factorization.ipynb
Created
March 19, 2019 19:54
— forked from emaadmanzoor/Word embeddings via PMI-matrix factorization.ipynb
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ClaudeCoulombe
/ semantic_transfer_learning.py
Created
May 22, 2018 20:30
— forked from prats226/semantic_transfer_learning.py
Sentiment classification using transfer learning
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| import collections, math, random, numpy | |
| import tensorflow as tf | |
| from sklearn.cross_validation import train_test_split | |
| sentences = """hated the movie it was stupid;\ni hated it so boring;\nawesome the movie was inspiring;\nhated it what a disaster;\nwe hated the movie they were idiotic;\nhe was stupid, hated her;\nstupid movie is boring;\ninspiring ourselves, awesome;\ninspiring me, brilliant;\nwe hated it they were rubbish;\nany inspiring movie is amazing;\nit was stupid what a disaster;\nits stupid, rubbish;\nstupid, idiotic!;\nawesome great movie;\nboring, must be hated;\nhe was boring the movie was stupid;\nboring movie was a disaster;\nboth boring and rubbish;\nso boring and idiotic;\ngreat to amazing;\ndisaster, more than hated;\nbetween disaster and stupid;\ndisaster, so boring;\nawesome movie, brilliant;\ntoo awesome she was amazing;\nhe was brilliant loved it;\ndisaster, only idiotic;\nrubbish movie hated him;\nit was rubbish, why so stupid?;\nrubbish, too boring;\nrubbish, disaster!;\nrubbish, very |
ClaudeCoulombe
/ CATCH_Keras_RL.md
Created
February 5, 2018 05:58
— forked from EderSantana/CATCH_Keras_RL.md
Keras plays catch - a single file Reinforcement Learning example