Introducing a new state-of-the-art code embedding model - SOTA performance on the CodeSearchNet benchmark - Truly open (weights, data, code) - Apache 2.0 Nomic Embed Code brings us one step closer to a world with truly open source embedding models for every modality! 🧵

If you need to extract methods from a github repository, checkout function-parser from pypi. It is a forked version from the awesome #codesearchnet challenge repo to make it easy to install and setup the tool they created 🤓 Repo: https://t.co/KLjrUMCcV1 https://t.co/evl3utFbVe

"Open Graph Benchmark: Datasets for ML on Graphs" by W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec 📜 https://t.co/9pYphqUP0Y 💻 https://t.co/r9hJ2LYXji ogbg-code2 - a project-split subset of CodeSearchNet \w graphs for 450k PythonAST & method name prediction

SD Times news digest: GitHub introduces CodeSearchNet challenge, CodeStream 3.0 released, and Rust 1.38 https://t.co/RgWLCTKLfo

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux https://t.co/GveL9CaJdu

New endpoint from @OpenAI for text embeddings with applications in text similarity, text search, code search. Results on the CodeSearchNet benchmark (NL query, code snippet results) looks particularly compelling. https://t.co/onkb97MjIF

.@omojumiller, @HamelHusain and @jeremylewi have talked about #MLonCode datasets and applications on #TFWorld. @sourcedtech should participate in the CodeSearchNet competition! The issue labeling bot looks awesome.

#MLonCode Ebook, #CodeSearchNet and Neural Decompilation: https://t.co/gJgyMOmjQR Sign up for the source{d} bi-weekly newsletter: https://t.co/rrZtbzd50h

Calling all machine learning developers and data scientists 👀 Today we're excited to share the CodeSearchNet Challenge and the release of a large dataset for natural language processing and machine learning. https://t.co/kXDH4FRqhq

Learned that CodeSearchNet https://t.co/rbCIbqhCGA is cited on this blog post from OpenAI https://t.co/0iL1dHLpwY I wish the dataset was still available h/t @wasimlorgat

[Github new NLP challenge] Introducing the CodeSearchNet challenge https://t.co/BcoSDNjAa6

Amazing to see ModernBERT dominate the CodeSearchNet benchmark we created back at GitHub 4 years ago! https://t.co/UuYyQeXxAb

ImageNet changed the world by providing a standard dataset and leaderboard that drove researchers to make huge strides in image recognition. Today, we aim to do the same for code search and understanding, with the release of CodeSearchNet. ✨

إطلاق تحدي (CodeSearchNet) لقياس مستوى أداء أدوات البحث في الأكواد البرمجية باستخدام تقنيات #الذكاء_الاصطناعي https://t.co/hN2OxQ5xbO

GitHub Releases an ImageNet for Code

📃 Newsletter: #MLonCode Ebook, #CodeSearchNet and Neural Decompilation: https://t.co/0TBjcbhdZn 📢 Sign up for the @sourcedtech bi-weekly newsletter to receive the latest news and learning resources about #CodeAsData #MLonCode and #DataDrivenEngineering https://t.co/NpACyRq0IO

GitHub-challenge moet probleem met zoeken naar code oplossen https://t.co/Gt4ELx8Gze #Data #DataScience #CodeSearchNet #datascientists #GitHub @techzine

Introducing the CodeSearchNet challenge

[R] Introducing the CodeSearchNet challenge: "Searching for code to reuse, call into, or to see how others handle a problem is one of the most common tasks in a software developer’s day. However, search engines for code are often frustrating and never… https://t.co/QOe4M6Yxb3

Weights & Biases - Sudo Write Me a Program: GitHub Releases the ImageNet for Code https://t.co/qnyfiYk1V2 #AI #DeepLearning #MachineLearning #DataScience