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**Submitting author:** @4imothy (Timothy Cronin)
**Repository:** https://github.com/KLab-AI3/ai3
**Branch with paper.md** (empty if default branch):
**Version:** 0.1.0
**Editor:** @HaoZeke
**Reviewer…
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I saw that the most recent version of the paper for dreamcoder uses E-graphs and not fragment grammars.
Thus I was wondering how E-graphs and implemented so that they work nicelty with python and d…
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关于第21页的5个G，我觉着还有一种可能，指代的是Grids, Groups, Graphs, Geodesics, and Gauges五个单词开头的G，而不是世代
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Convolutional Neural Networks, Recurrent Neural Networks, and other deep learning approaches have achieved unprecedented performance on a broad range of problems (e.g. Computer Vision and Speech Recog…
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# Universality of Neural Networks on Sets vs. Graphs | ICLR Blogposts 2023
Universal function approximation is one of the central tenets in theoretical deep learning research. It is the question of w…
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## 🚀 Feature
Please consider the implementation of Graph2vec [https://arxiv.org/abs/1707.05005](https://arxiv.org/abs/1707.05005) with support for multidimensional node features if possible.
## Mo…
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< Placeholder >
timeline: April 2023 - April 2027.
[Key historical 2016 issue of thesis topic](https://github.com/Tribler/tribler/issues/2250)
ToDo: 6 weeks hands-on Python onboarding project. …
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I love pytorch geometric, I've been getting nice results, and I'm really excited to see its widespread adoption. Currently writing a work that includes a couple torch geometric demos to highlight its …
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It would be very useful to compare real training performance on amd and nvidia cards.
For Nvidia cards we have a lot of graphs and tests, for example:
https://github.com/u39kun/deep-learning-benchma…
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I took it a long time ago and we used Keras and TF but I want to learn Pytorch now.
Are the videos and curriculum mostly the same, just implementation is in Pytorch?