Skip to content

Issues: keras-team/keras-io

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

92 Open 530 Closed
92 Open 530 Closed
Author
Filter by author
Loading
Label
Filter by label
Loading
Use alt + click/return to exclude labels
or ⇧ + click/return for logical OR
Projects
Filter by project
Loading
Milestones
Filter by milestone
Loading
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated Best match
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀

Issues list

Tutorial broken
#1989 opened Nov 12, 2024 by fpt-ian
@sachinprasadhs
Diffusion Stable Model: Exception encountered when calling CLIPEncoderLayer.call().
#1982 opened Oct 27, 2024 by Muhammadyousafrana
@sachinprasadhs
English-to-Spanish translation with KerasHub: decoded sentence is the same as the input sentence
#1969 opened Oct 19, 2024 by jorcisai
@sachinprasadhs
Neural machine translation with transformer decoded sentence is the same as input sentence
#1968 opened Oct 19, 2024 by jorcisai
@sachinprasadhs
English-to-Spanish translation with a sequence-to-sequence Transformer: TransformerDecoder second attention_mask maybe wrong
#1964 opened Oct 18, 2024 by xwklwwlf
@sachinprasadhs
structured_data_classification_from_scratch,py Issue
#1952 opened Oct 7, 2024 by suncowiam
@sachinprasadhs
Image Classification From Scratch: Make note of large batch size
#1949 opened Oct 5, 2024 by jxu
@sachinprasadhs
Structured data learning with TabTransformer Tutorial Working on Colab, broken on Local
#1946 opened Oct 3, 2024 by babennettdev
@sachinprasadhs
Tensorflow Probability is breaking with Keras 3 stat:contributions welcome type:support
#1945 opened Oct 3, 2024 by pksX01
@sachinprasadhs
2
add a keras-hub guide for "object detection"
#1936 opened Sep 25, 2024 by divyashreepathihalli
@sineeli
Timeseries classification from scratch's inference result shape is different from what I expected.
#1929 opened Sep 13, 2024 by pstar0830
@sachinprasadhs
1
error in the tutorial of MPNN
#1925 opened Sep 8, 2024 by Jameel9
@sachinprasadhs
Wrong Pretrained model saved in Pretraining and FineTuning BERT
#1924 opened Sep 4, 2024 by joHussien
@sachinprasadhs
Can't run getting_started.py of KerasNLP type:bug
#1918 opened Aug 27, 2024 by snowuyl
@sachinprasadhs
1
Inconsistency when running the keras-io/examples/timeseries/timeseries_classification_transformer.py
#1908 opened Aug 13, 2024 by condor-cp
@sachinprasadhs
2
Error in Vision Transformer examples
#1907 opened Aug 9, 2024 by angelo-ml
@sachinprasadhs
1
lstm_seq2seq.py not working correctly, gives same output no matter the input
#1906 opened Aug 5, 2024 by eddiemay
@sachinprasadhs
1
Grad-CAM example does not work with sequential models
#1903 opened Jul 31, 2024 by jasperchess
@sachinprasadhs
speaker recognition package usage
#1901 opened Jul 31, 2024 by WAIML
@sachinprasadhs
Example A Transformer-based recommendation system does not work when using Keras 3.4.1
#1899 opened Jul 29, 2024 by vladimirvlasevsky
@sachinprasadhs
Question about lack of positional encoding in timeseries_classification_transformer.py stat:contributions welcome type:support
#1894 opened Jul 20, 2024 by Atousa-Kalantari
@sachinprasadhs
3
StableDiffusion example doesn't currently work without adjustment
#1890 opened Jul 13, 2024 by mdvthu
@sachinprasadhs
2
Help runing the lastest version of ".\examples\vision\captcha_ocr.py" type:support
#1865 opened May 21, 2024 by sjhgithub
@sachinprasadhs
1
Would it be possible to make lstm_seq2seq support mixed precision? type:bug
#1861 opened May 14, 2024 by joshuayao
@sachinprasadhs
1
bayesian_neural_networks failed with Mixed Precision enabled stat:contributions welcome type:bug
#1860 opened May 13, 2024 by LifengWang
@sachinprasadhs
3
ProTip! Add no:assignee to see everything that’s not assigned.