Peter Simons
172875e4c2
Distribute an *unmodified* GPL-3 license text.
...
If you modify the text of the license in whatever trivial way, then the
resulting license may no longer be called "GPL-3". That is probably not what
you intended.
2017-03-31 16:04:23 +02:00
Mahdi Dibaiee
58d62a06fc
chore: bump version
2017-01-08 15:09:32 +03:30
Mahdi Dibaiee
854bfe5805
chore(dependencies): update vector
2017-01-08 15:06:35 +03:30
Mahdi Dibaiee
b382d63994
remove test suite
2016-11-09 11:22:33 +03:30
Mahdi Dibaiee
b7b62223d6
chore: bump version
2016-11-08 22:42:37 +03:30
Mahdi Dibaiee
94e11e5b7c
chore: bump version
2016-11-08 22:40:26 +03:30
Mahdi Dibaiee
fa84c7efe9
chore(deps): JuicyPixel < 3.3
2016-11-08 22:39:50 +03:30
Mahdi Dibaiee
44f2ae372a
chore(README): unnecessary space
2016-10-17 01:59:48 +03:30
Mahdi Dibaiee
ace9b7f5f9
chore(README): import statement
2016-10-17 01:57:46 +03:30
Mahdi Dibaiee
ed6d2b3021
feat(Numeric): move all modules to Numeric
2016-10-17 01:54:35 +03:30
Mahdi Dibaiee
506b180498
chore: package desc
2016-10-16 13:11:27 +03:30
Mahdi Dibaiee
6da6e4fd09
feat(pca): implement PCA and visualize data using it
2016-10-11 16:28:09 +03:30
Mahdi Dibaiee
7f90afba7f
chore(readme): time is relative to the machine
2016-10-08 19:57:00 +03:30
Mahdi Dibaiee
016ebcaa93
chore(README): notmnist-relu
2016-10-03 19:22:55 +03:30
Mahdi Dibaiee
56fded810a
chore(readme): word2vec chart explained
2016-10-01 12:32:08 +03:30
Mahdi Dibaiee
85971bc84d
feat(w2v): draw text charts for words
2016-10-01 12:24:36 +03:30
Mahdi Dibaiee
d9d24f69a6
feat(blogs-corpus): new corpus for word2vec
2016-09-19 16:00:45 +04:30
Mahdi Dibaiee
f16cc26798
perf(word2vec): better word2vec
2016-09-16 18:46:21 +04:30
Mahdi Dibaiee
313e120f25
crossEntropy chart for now
2016-09-16 14:36:42 +04:30
Mahdi Dibaiee
6def5f6197
draw chart using simple options
2016-09-16 14:16:14 +04:30
Mahdi Dibaiee
0d43814448
fix(word2vec): simple example of word2vec
2016-09-16 14:03:15 +04:30
Mahdi Dibaiee
d4ac90bbd5
rm(sin): remove sin example
...
fix(ignoreBiases): was ignoring nodes, lol
fix(w2v): better logging and implementation
2016-09-16 13:31:23 +04:30
Mahdi Dibaiee
c0083f5c05
fix(notmnist): notmnist sigmoid chart with 10 epochs
2016-09-13 10:04:30 +04:30
Mahdi Dibaiee
6b9cb1fa3e
relu: run notmnist using relu activation and draw the chart
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[wip] word2vec: work in progress implementation of word2vec
2016-09-13 09:49:44 +04:30
Mahdi Dibaiee
bcc22465d6
fix(xor): better learning rate
2016-09-10 19:21:52 +04:30
Mahdi Dibaiee
f379f208db
fix(crossEntropy): implement crossEntropy' to be used in output layer
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fix(softmax'): softmax was not correct
2016-09-10 17:43:45 +04:30
Mahdi Dibaiee
c23fd14771
chore: section
2016-09-10 01:22:09 +04:30
Mahdi Dibaiee
6cb130b15e
chore(README): simple neural network
2016-09-10 01:20:08 +04:30
Mahdi Dibaiee
58851611dc
chore(README): better readme, chart
2016-09-10 01:15:38 +04:30
Mahdi Dibaiee
b26347e19f
feat(notmnist): notmnist example using SGD + learning rate decay
2016-09-10 00:36:15 +04:30
Mahdi Dibaiee
ace0a18653
chore(README): explain how the top 10 method increases accuracy and F measure
2016-08-21 01:21:42 +04:30
Mahdi Dibaiee
7d0ce29ba8
chore(README): don't tell them about accuracy, let them try it themselves
2016-08-21 01:07:01 +04:30
Mahdi Dibaiee
25e44d3a8c
chore(data): doc-classifier-data
2016-08-21 01:02:45 +04:30
Mahdi Dibaiee
891f48a2d0
feat(topten): top-ten classification with evenly distrubuted data
2016-08-21 00:59:42 +04:30
Mahdi Dibaiee
b2888417bb
fix(cleanText): remove unnecessary spaces
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fix(run): use `1 - prior` for alpha, no need for smoothing
feat(cleanText): turn all text to lowercase
2016-08-09 16:04:57 +04:30
Mahdi Dibaiee
eebf5e0222
feat(verbose): print more information using -v or --verbose flags
2016-08-08 12:35:26 +04:30
Mahdi Dibaiee
099c25e166
feat(stopwords): removeWords and removeStopwords functions as pre-processors
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feat(confidence, WIP): calculate confidence of each classification
2016-08-08 10:02:26 +04:30
Mahdi Dibaiee
ea1f05f001
fix(naivebayes): fix the algorithm to make it actually work
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feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy
2016-08-05 23:54:36 +04:30
Mahdi Dibaiee
3cf0625794
fix(precision): little bug in implementation
2016-07-30 16:52:34 +04:30
Mahdi Dibaiee
76e7e7faef
fix(recall, precision): little bug in calculations
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feat(fmeasure): calculate fmeasure using recall and precision
2016-07-29 22:09:30 +04:30
Mahdi Dibaiee
812717522e
refactor(&&&): use &&& instead of the arrow function
2016-07-29 18:20:35 +04:30
Mahdi Dibaiee
b5b4629318
feat(results): accuracy, recall and precision functions used to calculate measures
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fix: read data from another repository
2016-07-29 17:55:59 +04:30
Mahdi Dibaiee
eeabe4696c
chore(README): simple initial README
2016-07-29 16:26:50 +04:30
Mahdi Dibaiee
26eb4531fa
feat(naivebayes): implement NaiveBayes algorithm
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feat(example): a document classifier using NaiveBayes over reuters data
2016-07-29 16:16:44 +04:30
Mahdi Dibaiee
493a20eb0a
feat(crossEntropy): crossEntropy cost function
2016-07-24 10:48:04 +04:30
Mahdi Dibaiee
49606406d1
fix(run): I had written logistic' wrong, that's what happens when you write code while sleepy
2016-07-20 12:06:19 +04:30
Mahdi Dibaiee
b941580273
chore
2016-07-20 10:16:13 +04:30
Mahdi Dibaiee
f5a0c23d99
feat(randomNetwork): generate random networks with a simple function
2016-07-18 17:07:12 +04:30
Mahdi Dibaiee
23851a85f5
fix(stack): use stack build and exec instead of manual stack ghc
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refactor: rename from Lib to Sibe
2016-07-18 16:33:34 +04:30
Mahdi Dibaiee
4397f5203a
fix(train): fix an error in computing layer's error
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feat(examples): add an example (xor)
2016-07-18 00:30:17 +04:30
