Cool links & research papers related to Machine Learning applied to source code (MLonCode)
-
Updated
Dec 3, 2020
#
machine-learning-on-source-code
Here are 5 public repositories matching this topic...
Datasets, tools, and benchmarks for representation learning of code.
python
nlp
data-science
data
machine-learning
natural-language-processing
deep-learning
tensorflow
ml
cnn
open-data
neural-networks
rnn
datasets
representation-learning
nlp-machine-learning
bert
programming-language-theory
self-attention
machine-learning-on-source-code
-
Updated
Jan 28, 2021 - Jupyter Notebook
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
python
search
nlp
data-science
machine-learning
natural-language-processing
tutorial
deep-learning
tensorflow
keras
pytorch
code-search
semantic-search-engine
search-algorithm
searching-algorithms
semantic-search
fastai
machine-learning-on-source-code
ml-on-code
-
Updated
Jun 8, 2021 - Jupyter Notebook
Automatically check mismatch between code and comments using AI and ML
python
machine-learning
deep-learning
python3
transformer
machine-learning-on-source-code
roberta
mlmodel
bert-model
function-docstring-pairs
-
Updated
Jun 28, 2021 - Python
Improve this page
Add a description, image, and links to the machine-learning-on-source-code topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the machine-learning-on-source-code topic, visit your repo's landing page and select "manage topics."
Well, the title of the issue tells it all, but just to clarify, we may need a better documentation (something in the read the docs or something like that, or a github page)
It is going to be a tricky work and a very necessary one.