autoembedder
ludwig
autoembedder | ludwig | |
---|---|---|
1 | 3 | |
8 | 10,859 | |
- | 1.3% | |
0.0 | 9.5 | |
17 days ago | about 12 hours ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
autoembedder
-
How to learn Categorial Embeddings in Unsupervised Learning?
Solutions I found here and here propose to save the Input Batch as a in a variable after feeding it into the Embeddings Layer (but before the AE) and use that as the target for the loss function.
ludwig
-
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!
-
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.
-
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?
ds2 - Easiest way to use AI models without coding (Web UI & API support)
nlp-recipes - Natural Language Processing Best Practices & Examples
wysiwyh - A neural net to transform a video into audio in real time.
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
ALAE - [CVPR2020] Adversarial Latent Autoencoders
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
poutyne - A simplified framework and utilities for PyTorch
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
attention-mixed-type-clustering - Attention in Mixed-Type Clustering
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
ai-deadlines - :alarm_clock: AI conference deadline countdowns