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*@nilsolav commented on Mar 20, 2020, 9:18 AM UTC:*
There is a growing need in the community to support fast access to large volumes of sonar data, including interpretation (labels or annotations). P…
ghost updated
4 years ago
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Some of us had a discussion about structuring IPFS research, taking learnings from how Filecoin has done its research, and PL's RFPs.
Filecoin Research links:
- https://github.com/filecoin-project…
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LINK TO GRAYSCALE MNIST: https://github.com/Seqaeon/MNIST_streamlit
Our weightless neural networks framework running on MNIST and MNIST-grayscale already achieves great results in terms of traini…
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# Name of Proposer
*Dinesh*
# Campaign Name
*DSA - Effieciency of code matters*
## Campaign Description
*DSA aka Data structure and Algorithm, for a developer this will come in handy in every…
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**Project Abstract**
The product allows users to upload text documents from their computer, which are then
automatically categorized based on the document's content using natural language
processin…
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# Online active learning in 80 lines of Python • Max Halford
Active learning is a way to get humans to label data efficiently. A good active learning strategy minimizes the number of necessary labels…
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## Personal Details
**Name: Yoshiaki Kanematsu**
**Undergrad**
**Year in Cornell: Class of 2027 / Sophomore**
**Relevant classes: CS 2110, ECE 2100, ECE 2300**
**Expertise (langu…
yk699 updated
1 month ago
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https://arxiv.org/abs/2307.05100
```bib
@misc{yang2023generativecontrastivegraphlearning,
title={Generative Contrastive Graph Learning for Recommendation},
author={Yonghui Yang and Zh…
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# Docker for Data Science, Efficient Image Instancing without System Issues | fastblog
Covering how and why you should setup Docker for your local environment when developing Machine Learning models …
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which one is the correct one to be doing:
```
# Accumulate gradients wrt meta-params for each task
qry_loss_t.backward() # note this is more memory efficient (as it remov…