Issues
- 2
Can you provide unprocessed data sets?Method and corresponding method annotation data set
#33 opened by BGMpool2014 - 3
Questions about the dataset.
#75 opened by AlphaDoraem - 3
- 5
tran rawtxt data to h5
#50 opened by hellokitty753159 - 3
- 6
High similarity, but irrelevant search results
#72 opened by isHuangXin - 3
- 1
code evaluation results wrong
#76 opened by XiaoXiaoYi123 - 4
How to convert .txt file to .h5 file
#74 opened by XiaoXiaoYi123 - 0
Problems in train.py
#73 opened by XiaoXiaoYi123 - 0
High similarity, but results are irrelevant
#71 opened by isHuangXin - 18
Pretrained model ETA
#68 opened by saicharishmavalluri - 3
Memory Issue
#69 opened by saicharishmavalluri - 0
AssertionError
#70 opened by SamridhiVaid - 1
The file "./data/github/train.name.h5" is missing
#53 opened by liuyuxy - 4
关于文章中所用的测试集
#66 opened by LeeSureman - 3
- 3
How can I get the evaluation benchmark ?
#45 opened by xdliu1998 - 3
- 20
The dataset used for evaluation
#62 opened by skye95git - 1
cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
#65 opened by skye95git - 2
- 1
Is there a file called nsml missing?
#57 opened by yusijia - 3
Problem in the Kears Version
#63 opened by zhangyue-se - 3
download pretrained model
#61 opened by skye95git - 7
about feature number
#47 opened by BGMpool2014 - 1
No loss function 'cosine_proximity'
#54 opened by mdvertola - 13
the reasult not well
#49 opened by BGMpool2014 - 0
AssertionError when code embedding and searching
#60 opened by boneyag - 1
- 3
tool demo link not working.
#56 opened by zohaamin996 - 2
About Dataset.
#52 opened by TomasAndersonFang - 1
Problem loading the Data
#51 opened by dudany - 1
about eval func
#46 opened by BGMpool2014 - 5
about converts test to num
#48 opened by hellokitty753159 - 1
- 1
关于.h5数据
#43 opened by BGMpool2014 - 5
Search on pytorch AssertionError: inconsistent number of chunks, check whether the specified files for codebase and code vectors are correct!
#42 opened by BigMax-Jason - 4
Pytorch search FileNotFoundError
#41 opened by u-Scope - 3
- 3
InvalidArgumentError: Shape [-1,30] has negative dimensions [[Node: desc = Placeholder[dtype=DT_INT32, shape=[?,30], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
#37 opened by BGMpool2014 - 2
- 5
- 1
- 1
- 0
where to get the parsed functions
#38 opened by JoeQiao666 - 0
- 2
- 2
- 7