Stars
Python tool for converting files and office documents to Markdown.
Simple, unified interface to multiple Generative AI providers
Programs for producing static and dynamic (runtime) call graphs for Java programs
The implementation of "Adding Context to Source Code Representations for Deep Learning"
Home of StarCoder: fine-tuning & inference!
The dataset, source code and the results of our ESEC/FSE 2023 paper "An Extensive Study on Adversarial Attack against Pre-trained Models of Code".
Parseing US patent grant xml file without using Beautiful Soup, or any other third party libraries.
Personal notes for SAA-C02 test from: https://learn.cantrill.io
Mastering Transformers, published by Packt
anguyenbus / the-algorithm
Forked from twitter/the-algorithmSource code for Twitter's Recommendation Algorithm
anguyenbus / Llama2RAG
Forked from nicknochnack/Llama2RAGA working example of RAG using LLama 2 70b and Llama Index
anguyenbus / evidently
Forked from evidentlyai/evidentlyEvaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
anguyenbus / applied-ml
Forked from eugeneyan/applied-ml📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
tmlr-group / WCA
Forked from JinhaoLee/WCA[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Software vulnerability detection using machine learning through source codes (Exp-1). Replication of https://arxiv.org/abs/1807.04320.
This repo illustrates how to evaluate the artifacts in the paper An Extensive Study on Pre-trained Models for Program Understanding and Generation published in ISSTA'22.
⚒️ Tree-sitter custom toolkit for extracting function and class from raw source file