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seomoz
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word2gauss
Gaussian word embeddings
MIT License
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Did anyone reproduce the result in this paper?
#25
xinc66
opened
4 years ago
2
scalability?
#24
acc4012
closed
6 years ago
5
prevent div 0 in get_phrases_vector
#23
fuzihaofzh
closed
6 years ago
1
div 0 error cause nan in phrase vector
#22
fuzihaofzh
opened
6 years ago
0
Add Python 3 compatibility
#21
acattle
closed
6 years ago
1
python 3 issue
#20
urigoren
opened
7 years ago
1
Incorrect implementation
#19
abrazinskas
opened
7 years ago
1
Similarity benchmarks not matching
#18
SharmisthaJat
opened
7 years ago
8
Entailment benchmark
#17
abrazinskas
opened
7 years ago
2
Saving model takes too long
#16
shyamupa
closed
8 years ago
3
Entailment experiments not working as original paper
#15
shyamupa
closed
8 years ago
3
Training on Wikipedia is not memory Efficient
#14
shyamupa
closed
8 years ago
2
Numerical gradient check, remove vocab as dependency
#13
matt-peters
closed
8 years ago
0
Python 3 compatibility
#12
anna-hope
closed
6 years ago
5
Include UINT32_MAX
#11
matt-peters
closed
8 years ago
0
Explicitly use max uint32 instead of -1
#10
matt-peters
closed
8 years ago
0
Adagrad
#9
matt-peters
closed
9 years ago
0
responding to PR comments
#8
rutum
closed
9 years ago
1
Rm
#7
rutum
closed
9 years ago
0
Separate embeddings
#6
matt-peters
closed
9 years ago
0
Speedup
#5
matt-peters
closed
9 years ago
0
Add support for diagonal covariance matrices
#4
matt-peters
closed
9 years ago
0
Add some doc to nearest_neighbors
#3
matt-peters
closed
9 years ago
0
Update model
#2
rutum
closed
9 years ago
7
Initial working implementation
#1
matt-peters
closed
9 years ago
1