René's URL Explorer Experiment


Title: GitHub - NERDSstack/CodeSearchNet: Datasets, tools, and benchmarks for representation learning of code. · GitHub

Open Graph Title: GitHub - NERDSstack/CodeSearchNet: Datasets, tools, and benchmarks for representation learning of code.

X Title: GitHub - NERDSstack/CodeSearchNet: Datasets, tools, and benchmarks for representation learning of code.

Description: Datasets, tools, and benchmarks for representation learning of code. - NERDSstack/CodeSearchNet

Open Graph Description: Datasets, tools, and benchmarks for representation learning of code. - NERDSstack/CodeSearchNet

X Description: Datasets, tools, and benchmarks for representation learning of code. - NERDSstack/CodeSearchNet

Opengraph URL: https://github.com/NERDSstack/CodeSearchNet

X: @github

direct link

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documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
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CONTRIBUTING.mdhttps://github.com/NERDSstack/CodeSearchNet/blob/master/CONTRIBUTING.md
CONTRIBUTING.mdhttps://github.com/NERDSstack/CodeSearchNet/blob/master/CONTRIBUTING.md
LICENSEhttps://github.com/NERDSstack/CodeSearchNet/blob/master/LICENSE
LICENSEhttps://github.com/NERDSstack/CodeSearchNet/blob/master/LICENSE
README.mdhttps://github.com/NERDSstack/CodeSearchNet/blob/master/README.md
README.mdhttps://github.com/NERDSstack/CodeSearchNet/blob/master/README.md
READMEhttps://github.com/NERDSstack/CodeSearchNet
Code of conducthttps://github.com/NERDSstack/CodeSearchNet
Contributinghttps://github.com/NERDSstack/CodeSearchNet
MIT licensehttps://github.com/NERDSstack/CodeSearchNet
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https://opensource.org/licenses/MIT
https://www.python.org/downloads/release/python-360/
https://app.wandb.ai/github/CodeSearchNet/benchmark
Quickstarthttps://github.com/NERDSstack/CodeSearchNet#quickstart
Introductionhttps://github.com/NERDSstack/CodeSearchNet#introduction
Project Overviewhttps://github.com/NERDSstack/CodeSearchNet#project-overview
Datahttps://github.com/NERDSstack/CodeSearchNet#data
Evaluationhttps://github.com/NERDSstack/CodeSearchNet#evaluation
Annotationshttps://github.com/NERDSstack/CodeSearchNet#annotations
Setuphttps://github.com/NERDSstack/CodeSearchNet#setup
Data Detailshttps://github.com/NERDSstack/CodeSearchNet#data-details
Data Acquisitionhttps://github.com/NERDSstack/CodeSearchNet#data-acquisition
Schema & Formathttps://github.com/NERDSstack/CodeSearchNet#schema--format
Downloading Data from S3https://github.com/NERDSstack/CodeSearchNet#downloading-data-from-s3
Running our Baseline Modelhttps://github.com/NERDSstack/CodeSearchNet#running-our-baseline-model
Model Architecturehttps://github.com/NERDSstack/CodeSearchNet#model-architecture
Traininghttps://github.com/NERDSstack/CodeSearchNet#training
Referenceshttps://github.com/NERDSstack/CodeSearchNet#references
Benchmarkhttps://github.com/NERDSstack/CodeSearchNet#benchmark
How to Contributehttps://github.com/NERDSstack/CodeSearchNet#how-to-contribute
Other READMEshttps://github.com/NERDSstack/CodeSearchNet#other-readmes
W&B Setuphttps://github.com/NERDSstack/CodeSearchNet#wb-setup
Licenseshttps://github.com/NERDSstack/CodeSearchNet#licenses
https://github.com/NERDSstack/CodeSearchNet#quickstart
Dockerhttps://docs.docker.com/get-started/
Nvidia-Dockerhttps://github.com/NVIDIA/nvidia-docker
CUDA 9.0https://developer.nvidia.com/cuda-90-download-archive
community benchmarkhttps://app.wandb.ai/github/CodeSearchNet/benchmark
instructionshttps://github.com/NERDSstack/CodeSearchNet/blob/master/BENCHMARK.md
https://github.com/NERDSstack/CodeSearchNet#introduction
https://github.com/NERDSstack/CodeSearchNet#project-overview
CodeSearchNethttps://arxiv.org/abs/1909.09436
blog posthttps://githubengineering.com/towards-natural-language-semantic-code-search/
Deep Program Understandinghttps://www.microsoft.com/en-us/research/project/program/
Microsoft Research - Cambridgehttps://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/
shared community benchmarkhttps://app.wandb.ai/github/CodeSearchNet/benchmark
Weights & Biaseshttps://www.wandb.com/
technical reporthttps://arxiv.org/abs/1909.09436
https://github.com/NERDSstack/CodeSearchNet#data
docstringshttps://en.wikipedia.org/wiki/Docstring
this notebookhttps://github.com/NERDSstack/CodeSearchNet/blob/master/notebooks/ExploreData.ipynb
this sectionhttps://github.com/NERDSstack/CodeSearchNet#data-details
https://github.com/NERDSstack/CodeSearchNet#evaluation
Normalized Discounted Cumulative Gainhttps://en.wikipedia.org/wiki/Discounted_cumulative_gain#Normalized_DCG
this paperhttps://arxiv.org/abs/1909.09436
https://github.com/NERDSstack/CodeSearchNet#annotations
querieshttps://github.com/NERDSstack/CodeSearchNet/blob/master/resources/queries.csv
this paperhttps://arxiv.org/abs/1909.09436
https://github.com/NERDSstack/CodeSearchNet#setup
official docshttps://docs.docker.com/get-started/
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blog posthttps://towardsdatascience.com/how-docker-can-help-you-become-a-more-effective-data-scientist-7fc048ef91d5
herehttps://github.com/NERDSstack/CodeSearchNet/blob/master/resources/README.md
Data Detailshttps://github.com/NERDSstack/CodeSearchNet#data-details
this notebookhttps://github.com/NERDSstack/CodeSearchNet/blob/master/notebooks/ExploreData.ipynb
https://github.com/NERDSstack/CodeSearchNet#data-details
https://github.com/NERDSstack/CodeSearchNet#data-acquisition
setup stepshttps://github.com/NERDSstack/CodeSearchNet#setup
this directory structurehttps://github.com/NERDSstack/CodeSearchNet/blob/master/resources/README.md
https://github.com/NERDSstack/CodeSearchNet#schema--format
jsonlineshttp://jsonlines.org/
this notebookhttps://github.com/NERDSstack/CodeSearchNet/blob/master/notebooks/ExploreData.ipynb
https://github.com/NERDSstack/CodeSearchNet#downloading-data-from-s3
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AWS P3-V100https://aws.amazon.com/ec2/instance-types/p3/
https://github.com/NERDSstack/CodeSearchNet#model-architecture
https://github.com/NERDSstack/CodeSearchNet/blob/master/images/architecture.png
https://github.com/NERDSstack/CodeSearchNet#training
Cuda v9.0https://developer.nvidia.com/cuda-90-download-archive
AWS P3-V100https://aws.amazon.com/ec2/instance-types/p3/
W&Bhttps://docs.wandb.com/docs/started.html
per the instructions belowhttps://github.com/NERDSstack/CodeSearchNet#wb-setup
https://github.com/NERDSstack/CodeSearchNet#references
https://github.com/NERDSstack/CodeSearchNet#benchmark
Weights & Biaseshttps://www.wandb.com/
these instructionshttps://github.com/NERDSstack/CodeSearchNet/blob/master/BENCHMARK.md
https://github.com/NERDSstack/CodeSearchNet#how-to-contribute
more specific guidelines for contributing to this repositoryhttps://github.com/NERDSstack/CodeSearchNet/blob/master/CONTRIBUTING.md
Code of Conducthttps://github.com/NERDSstack/CodeSearchNet/blob/master/CODE_OF_CONDUCT.md
https://github.com/NERDSstack/CodeSearchNet#other-readmes
Submitting to the benchmarkhttps://github.com/NERDSstack/CodeSearchNet/blob/master/BENCHMARK.md
Data structurehttps://github.com/NERDSstack/CodeSearchNet/blob/master/resources/README.md
https://github.com/NERDSstack/CodeSearchNet#wb-setup
W&B profile settings pagehttps://app.wandb.ai/settings
https://github.com/NERDSstack/CodeSearchNet#licenses
data downloadhttps://github.com/NERDSstack/CodeSearchNet#downloading-data-from-s3
fileshttps://github.com/NERDSstack/CodeSearchNet/blob/master/resources/README.md#directory-structure
MIT Licensehttps://github.com/NERDSstack/CodeSearchNet/blob/master/LICENSE
arxiv.org/abs/1909.09436https://arxiv.org/abs/1909.09436
Readme https://github.com/NERDSstack/CodeSearchNet#readme-ov-file
MIT license https://github.com/NERDSstack/CodeSearchNet#MIT-1-ov-file
Code of conduct https://github.com/NERDSstack/CodeSearchNet#coc-ov-file
Contributing https://github.com/NERDSstack/CodeSearchNet#contributing-ov-file
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Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FNERDSstack%2FCodeSearchNet&report=NERDSstack+%28user%29
Releaseshttps://github.com/NERDSstack/CodeSearchNet/releases
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Contributorshttps://github.com/NERDSstack/CodeSearchNet/graphs/contributors
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