bottleneck
code2vec
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bottleneck | code2vec | |
---|---|---|
2 | 3 | |
90 | 1,076 | |
- | 1.8% | |
0.0 | 2.5 | |
about 2 years ago | 7 months ago | |
Python | Python | |
MIT License | MIT License |
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bottleneck
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[D] Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning and Graph Expander Propagation
Found relevant code at https://github.com/tech-srl/bottleneck + all code implementations here
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[N] New Transport Planning Dataset for Deep Graph Neural Networks
Code for https://arxiv.org/abs/2006.05205 found: https://github.com/tech-srl/bottleneck
code2vec
- Word2vec
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Why is everyone freaking out about Chat GPT?
This isn't a "mathematician's calculator" or a new language or standard for computer science people. This is a thing that you tell it what you want it to do and it does it, yes it'd need heavy guidance to get a full product out even if it commits no breaking bugs .... NOW... at this specific point in time. For comparison sake, this was roughly the state of the art THREE YEARS AGO: https://code2vec.org/ Ie a model that blurted out some terms it thought could describe your function. Compare it to the what the big models do now and....
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[D] Security feature labeled dataset for code2vec
I am looking for a dataset that would contain code snippets (or vector representing it) and labels that are security specific features such as authentication, encryption, logging etc. I need to apply techniques like code2vec https://github.com/tech-srl/code2vec but with security-specific labels. Any leads where can I find this kind of dataset?
What are some alternatives?
GraphMixerNetworks - Official Implementation of Graph Mixer Networks
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
grand-cypher - Implementation of the Cypher language for searching NetworkX graphs
humanWeb - This is a Python project that uses Selenium and OpenAI to scrape data from the web, process it with GPT-3, and generate reports based on the results. The goal was to create a bot that can perform web research and analysis without using any APIs or external tools.
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
how_attentive_are_gats - Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
TransportPlanningDataset - A graph based strategic transport planning dataset, aimed at creating the next generation of deep graph neural networks for transfer learning. Based on simulation results of the Four Step Model in PTV Visum.