Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / hfawaz/dl-4-tsc issues and pull requests
#52 - Miss MTS dataset
Issue -
State: closed - Opened by yuhengguo over 1 year ago
- 3 comments
#51 - Question on validation dataset for TSC
Issue -
State: closed - Opened by Wwwwei almost 2 years ago
- 4 comments
#50 - How to improve validation score
Issue -
State: open - Opened by am610 over 2 years ago
#49 - How do you deal with data of varying length?
Issue -
State: closed - Opened by ghost over 2 years ago
- 1 comment
#48 - The link to Multivariate time series datasets is now missing
Issue -
State: closed - Opened by YaoDongAn over 2 years ago
- 2 comments
#47 - The input size of the twiesn?
Issue -
State: closed - Opened by Chloe-qiuyu almost 3 years ago
- 1 comment
#46 - classify new sample
Issue -
State: closed - Opened by chenyafe052 about 3 years ago
- 1 comment
#45 - FileNotFoundError: [Errno 2] No such file or directory: '...............x_train.npy'
Issue -
State: closed - Opened by xzs5310 about 3 years ago
#44 - USE CUSTOM DATA
Issue -
State: closed - Opened by arci97 about 3 years ago
- 1 comment
#43 - about folder tree
Issue -
State: open - Opened by Usmankhujaev about 3 years ago
#42 - About MCNN
Issue -
State: open - Opened by motnog over 3 years ago
#41 - will it work for multivariate time series prediction both regression and classification
Issue -
State: closed - Opened by Sandy4321 almost 4 years ago
- 1 comment
#40 - y_true vs y_test
Issue -
State: closed - Opened by Laoban-man almost 4 years ago
- 2 comments
#39 - Non-stationary timeseries
Issue -
State: open - Opened by Fluxtruth almost 4 years ago
#38 - Inception Time Model Predicts all 1's
Issue -
State: closed - Opened by shehabgamin almost 4 years ago
#37 - How do I use GPU to run the code?
Issue -
State: closed - Opened by Weberyoung almost 4 years ago
- 2 comments
#36 - Is the data being pulled in N,T,F
Issue -
State: closed - Opened by sabooakhter about 4 years ago
- 1 comment
#35 - How do you load the MTS archive for Multivariate
Issue -
State: closed - Opened by sabooakhter about 4 years ago
- 4 comments
#34 - use for multiple id and static categorical feature
Issue -
State: open - Opened by ramdhan1989 about 4 years ago
#33 - OSError: /b/home/uha/hfawaz-datas/dl-tsc//archives/TSC/Coffee/Coffee_TRAIN not found.
Issue -
State: open - Opened by Alla-Abdella about 4 years ago
- 2 comments
#32 - Having issues in regression
Issue -
State: open - Opened by vibha15 about 4 years ago
- 2 comments
#31 - How to analyze the CD diagram
Issue -
State: closed - Opened by peter943 over 4 years ago
- 2 comments
#30 - The version of UCR
Issue -
State: closed - Opened by peter943 over 4 years ago
- 2 comments
#29 - can't reproduce the results with FordB dataset
Issue -
State: closed - Opened by jorgemarcoes over 4 years ago
- 2 comments
#28 - ModuleNotFoundError: No module named 'utils.utils'
Issue -
State: open - Opened by saath02 over 4 years ago
- 1 comment
#27 - data format of UCR2018
Issue -
State: open - Opened by guoxishu over 4 years ago
- 8 comments
#26 - best_model.hdf5
Issue -
State: open - Opened by shahmustafa over 4 years ago
- 10 comments
#25 - fix save log dict names
Pull Request -
State: closed - Opened by dani1793 over 4 years ago
#24 - Suggestion: Add TCN to benchmark
Issue -
State: open - Opened by AStupidBear over 4 years ago
#23 - Results on the UEA multivariate archive?
Issue -
State: closed - Opened by fpetitjean over 4 years ago
- 3 comments
#22 - Update utils.py
Pull Request -
State: open - Opened by strivetome over 4 years ago
#21 - unable to find best_model
Issue -
State: closed - Opened by paullouBenedick almost 5 years ago
- 4 comments
#20 - Is it a bug? tlenet.py majority vote
Pull Request -
State: closed - Opened by SZFHH almost 5 years ago
- 1 comment
#19 - run time
Issue -
State: closed - Opened by vibha15 almost 5 years ago
- 2 comments
#18 - 30 UEA mts datasets
Issue -
State: closed - Opened by snowaa007 almost 5 years ago
- 1 comment
#17 - can be your code used for multivariate time series classification
Issue -
State: closed - Opened by Sandy4321 almost 5 years ago
- 1 comment
#16 - Also some error on utils.py
Issue -
State: closed - Opened by LMMOO-LJQ about 5 years ago
- 1 comment
#15 - also
Issue -
State: closed - Opened by LMMOO-LJQ about 5 years ago
#14 - some error in utils.py
Issue -
State: closed - Opened by Pauler99 about 5 years ago
- 1 comment
#13 - What is the version number of tensorflow and keras used
Issue -
State: closed - Opened by LMMOO-LJQ about 5 years ago
- 2 comments
#12 - Some errors occured when running mcdd and twiesn
Issue -
State: closed - Opened by welcomeyou2019 about 5 years ago
- 1 comment
#11 - How to prepare data for model
Issue -
State: closed - Opened by talhaanwarch about 5 years ago
- 1 comment
#10 - Tensorflow compatibility issues
Issue -
State: closed - Opened by erap129 about 5 years ago
- 1 comment
#9 - does it mean your code works for classification with mixture of categorical and continues data?
Issue -
State: closed - Opened by Sandy4321 about 5 years ago
- 1 comment
#8 - ValueError: Unknown layer: InstanceNormalization
Issue -
State: closed - Opened by Huii over 5 years ago
- 3 comments
#7 - scipy.interpolate.spline is deprecated and a.dtype.fields.keys() is unpredictable
Pull Request -
State: closed - Opened by trent-b over 5 years ago
#6 - allow use of transform_mts_to_ucr_format option
Pull Request -
State: closed - Opened by agharbi6 over 5 years ago
#5 - vs SVM('rbf')?
Issue -
State: closed - Opened by fantoumas over 5 years ago
- 8 comments
#4 - Issue using class activation map
Issue -
State: closed - Opened by paulomaia20 over 5 years ago
- 4 comments
Labels: enhancement, good first issue
#3 - Validation of Models on Loss Function
Issue -
State: closed - Opened by tsafs almost 6 years ago
- 3 comments
#2 - AttributeError: 'Tensor' object has no attribute 'assign'
Issue -
State: closed - Opened by tsafs almost 6 years ago
- 4 comments
#1 - mts command
Issue -
State: closed - Opened by samine66m almost 6 years ago
- 5 comments
Labels: good first issue