A deep learning algorithm for predicting types in Python. Please find a preprint here.
This repository contains its implementation (src/) and experiments (exp/).
Please cite as:
@inproceedings{allamanis2020typilus,
title={Typilus: Neural Type Hints},
author={Allamanis, Miltiadis and Barr, Earl T and Ducousso, Soline and Gao, Zheng},
booktitle={PLDI},
year={2020}
}
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jstDoS If you are going to skid that, please give credits ! ^^ ¿How works? This
coax is built on top of JAX, but it doesn't have an explicit dependence on the jax python package. The reason is that your version of jaxlib will depend on your CUDA version.
Need Help? If you’re new to StyleGAN2-ADA and looking to get started, please check out this video series from a course Lia Coleman and I taught in Oct
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FACT This repo provides a demo for the CVPR 2021 paper "A Fourier-based Framework for Domain Generalization" on the PACS dataset. To cite, please use:
HodgeNet | Webpage | Paper | Video HodgeNet: Learning Spectral Geometry on Triangle Meshes Dmitriy Smirnov, Justin Solomon SIGGRAPH 2021 Set-up To ins
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Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte
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