gmihaila/ml_things
This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.
Jupyter NotebookApache-2.0
Issues
- 0
pad token as eos token for gpt2 classification
#24 opened by qwenzo - 0
doubts regarding Bert Innerworking
#23 opened by apkbala107 - 1
QA task
#21 opened by shainaraza - 1
how to custom config file for Bert?
#20 opened by moseshu - 2
- 3
pre-train
#18 opened by shainaraza - 4
Question on XLNet training
#13 opened by darwinharianto - 1
- 1
How to score new data after fine tuning
#9 opened by sanjayb678 - 1
Making use of saved model
#8 opened by Ghani-25 - 1
Early Stopping
#7 opened by bala1802 - 6
predictions - metrics
#6 opened by shainaraza - 2
Longformer issue
#5 opened by shainaraza - 1
RuntimeError: CUDA out of memory.
#4 opened by shainaraza - 2
a few questions
#3 opened by shainaraza - 7
Question on InnerWorkings Of Bert
#12 opened by samuelgoodall - 1
- 1
question for imbalanced classification
#16 opened by siddpiku - 1
Tutorials: Pretraining Transformers
#15 opened by jbmaxwell - 1
Installation error.
#10 opened by chkimmmmm - 1
pad_array padding value
#2 opened by gmihaila - 1
pretrain_transformer - checkpoints save
#1 opened by gmihaila