GenerativeDenseUNet
ludwig
| GenerativeDenseUNet | ludwig | |
|---|---|---|
| 1 | 3 | |
| 0 | 10,905 | |
| - | 1.0% | |
| 7.6 | 9.3 | |
| almost 3 years ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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GenerativeDenseUNet
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Color composition of Red-White-Blue flags [OC]
You can add another a 4th axes which will give you a tetrahedron. Just like the ternary plot which embeds 3D data into a 2D plane, a tetrahedron will embed 4D data into a 3D volume. I’ve used this in my neural networks to visualize the 4D embedding space. I have an example of such a plot here https://github.com/jgcastro89/GenerativeDenseUNet
ludwig
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Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing
This is a great project, little bit similar to https://github.com/ludwig-ai/ludwig, but it includes testing capabilities and ablation.
questions regarding the LLM testing aspect: How extensive is the test coverage for LLM use cases, and what is the current state of this project area? Do you offer any guarantees, or is it considered an open-ended problem?
Would love to see more progress toward this area!
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Python projects with best practices on Github?
Two random examples I found from 30 seconds of googling: Here’s Netflix using it in their crisis management tool, and here’s Uber using it in their deep learning framework.
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Most Frequent 600 Coding Questions on LeetCode
They list themselves all over the internet as an "open source contributor" to Uber, which as far I can tell is based entirely on... reporting that there was an issue with a favicon. To me, it seems like they'll be cheating anybody who employs them based on this, ahem, "experience". And that feels like the tip of the iceberg.
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
nlp-recipes - Natural Language Processing Best Practices & Examples
WarpedGANSpace - [ICCV 2021] Authors official PyTorch implementation of the "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space".
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
ai-deadlines - :alarm_clock: AI conference deadline countdowns
Python_Storage_Tracker - Py Storage Tracker is a cross-platform command line tool using Python to track storage and other system related information.
autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
this-word-does-not-exist - This Word Does Not Exist