Mapping a variable-length sentence to a fixed-length vector using BERT model
gnes-ai/gnes 1159
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
hanxiao/daanet 144
DAANet: Dual Ask-Answer Network for Machine Reading Comprehension
gnes-ai/hub 32
GNES Hub ship AI/ML models as Docker containers and use Docker containers as plugins.
Demo of building a flower image search using GNES Flow API
Benchmarking GNES on its network latency
TensorFlow code and pre-trained models for BERT
Log what you do on your computer. Simple (yet powerful), extensible, no third parties.
hanxiao/all-contributors-cli 1
Tool to help automate adding contributor acknowledgements according to the all-contributors specification ✨
issue commentjina-ai/jina
get remote pod documentation updated
Good move! This part of the documentation is really out-of-date.
comment created time in an hour
pull request commentjina-ai/jina
refactor(types): move add_chunk add_match to Set
Right now, there are two functions for adding a chunk/match to the document. I'd suggest removing add().
There should be one-- and preferably only one --obvious way to do it. The Zen of Python
with Document() as d:
c1 = d.chunks.append()
c1.id = f'1:0>16'
c2 = d.chunks.add()
c2.id = f'2:0>16'
comment created time in an hour
pull request commentjina-ai/jina
Codecov Report
Merging #1346 (56a0550) into master (f8db230) will increase coverage by
0.01%. The diff coverage isn/a.
@@ Coverage Diff @@
## master #1346 +/- ##
==========================================
+ Coverage 83.27% 83.28% +0.01%
==========================================
Files 103 103
Lines 6744 6744
==========================================
+ Hits 5616 5617 +1
+ Misses 1128 1127 -1
| Impacted Files | Coverage Δ | |
|---|---|---|
| jina/peapods/gateway.py | 94.32% <0.00%> (-0.71%) |
:arrow_down: |
| jina/peapods/pea.py | 92.44% <0.00%> (+0.71%) |
:arrow_up: |
Continue to review full report at Codecov.
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Δ = absolute <relative> (impact),ø = not affected,? = missing dataPowered by Codecov. Last update f8db230...390f062. Read the comment docs.
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push eventjina-ai/jina
commit sha d1f152ac4880262b2984a0b4fcd5d6d8135d4d47
chore(contributor): update contributors
commit sha 28016639e8df95b49ea2ef4047f8c1c13e929509
chore(docs): update TOC
push time in 6 hours
issue openedjina-ai/jina
get remote pod documentation updated
--allow-spawn has been removed in #1276 , while it still exists in the documentation, run-remote-pod-jina.md
created time in 6 hours
push eventjina-ai/jina
commit sha 390f0626667031fc54cd2f9e914e56bf619c8ef9
test: remove allow spawn from remote test
push time in 6 hours
PR opened jina-ai/jina
- Removed index remote 2 from tests, since it testing the delete args
--allow-spawn. - Refactor index remote test.
- Remove
JinaTestCasefrom__init__, we're not using unittest anymore.
pr created time in 6 hours
pull request commentjina-ai/jina
Test adding convert driver tests
@bio-howard you can continue with the PR now, please replace jina_pb2. DocumentProto with Document, import from jina.type
comment created time in 7 hours
pull request commentjina-ai/jina
hi @rabbits99 would you like to continue with this PR? it has been 2 weeks. Please check commit guidelines #553 to update your commit message, and sign the CLA.
comment created time in 7 hours
issue closedjina-ai/jina-hub
Make ImageReader(Crafter) accept numpy images as input
To me as an application developer, it would be useful to load ndarray images into the flow and apply image crafters on these images.
closed time in 7 hours
florian-hoenicke
issue commentjina-ai/jina-hub
Make ImageReader(Crafter) accept numpy images as input
I will close this issue, we discussed in the PR that this functionality should not be part of ImageReader. The Flow already accepts inputing np arrays and working with them
comment created time in 7 hours
pull request commentjina-ai/jina-hub
feat: add Hamming distance evaluator
@JoanFM @theUnkownName shall we proceed with this PR? looks good now
Sure
comment created time in 7 hours
Pull request review commentjina-ai/jina-hub
feat: add Hamming distance evaluator
+from jina.executors.evaluators.text import BaseTextEvaluator++class HammingDistanceEvaluator(BaseTextEvaluator):+ """A:class:`HammingDistanceEvaluator` Gives the Hamming distance between result and groundtruth string..+ """++ def __init__(self, *args, **kwargs):+ super().__init__(*args, **kwargs)
i don't see the point of pouting the constructor here.
comment created time in 7 hours
pull request commentjina-ai/jina-hub
feat: add Hamming distance evaluator
@JoanFM @theUnkownName shall we proceed with this PR? looks good now
comment created time in 7 hours
Pull request review commentjina-ai/jina-hub
description: | url: https://jina.ai vendor: Jina AI Limited documentation: https://github.com/jina-ai/jina-hub-version: 0.0.1+version: 0.0.2
Yes it was just a test I will change in there.
comment created time in 7 hours
Pull request review commentjina-ai/jina
def arg_wrapper(*args, **kwargs): if b_size is None: return func(*args, **kwargs) + # catch empty shards+ if data is None:
I think I was wrong it may be actually a bug at batching level. I am howevrr not sure we can assume it returns an np.ndarray. batching decorator has too many things, if you find a pattern to abstract in another function it can also be good
comment created time in 7 hours
Pull request review commentjina-ai/jina-hub
description: | url: https://jina.ai vendor: Jina AI Limited documentation: https://github.com/jina-ai/jina-hub-version: 0.0.1+version: 0.0.2
the previous image version is 0.0.3
comment created time in 7 hours
issue openedhanxiao/bert-as-service
keep [MASK] after the tokenization in a sentence
Prerequisites
Please fill in by replacing
[ ]with[x].
- [x] Are you running the latest
bert-as-service? - [x] Did you follow the installation and the usage instructions in
README.md? - [x] Did you check the FAQ list in
README.md? - [x] Did you perform a cursory search on existing issues?
It seems that [MASK] in the sentence is tokenized to '[', 'mask', ']'.
Can I retain '[MASK]' in the sentence?
created time in 8 hours
delete branch jina-ai/jina-hub
delete branch : chore-sptagindexer-0.0.8-core-0-8-1
delete time in 12 hours
PR closed jina-ai/jina-hub
Due to the release of jina core v0.8.1, this draft PR is created in order to trigger an automatic build & push of the module
pr closed time in 12 hours
pull request commentjina-ai/jina-hub
chore: testing/building SptagIndexer (0.0.8) on new jina core: 0.8.1
Automatic build successful. Image has been built and deployed.
comment created time in 12 hours
delete branch jina-ai/jina-hub
delete branch : chore-f1scoreevaluator-0.0.2-core-0-8-1
delete time in 12 hours
pull request commentjina-ai/jina-hub
chore: testing/building f1ScoreEvaluator (0.0.2) on new jina core: 0.8.1
Automatic build successful. Image has been built and deployed.
comment created time in 12 hours
PR closed jina-ai/jina-hub
Due to the release of jina core v0.8.1, this draft PR is created in order to trigger an automatic build & push of the module
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delete branch jina-ai/jina-hub
delete branch : chore-reciprocalrankevaluator-0.0.2-core-0-8-1
delete time in 12 hours
PR closed jina-ai/jina-hub
Due to the release of jina core v0.8.1, this draft PR is created in order to trigger an automatic build & push of the module
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pull request commentjina-ai/jina-hub
chore: testing/building ReciprocalRankEvaluator (0.0.2) on new jina core: 0.8.1
Automatic build successful. Image has been built and deployed.
comment created time in 12 hours
delete branch jina-ai/jina-hub
delete branch : chore-averageprecision-0.0.2-core-0-8-1
delete time in 12 hours
PR closed jina-ai/jina-hub
Due to the release of jina core v0.8.1, this draft PR is created in order to trigger an automatic build & push of the module
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