TagMaps
ludwig
TagMaps | ludwig | |
---|---|---|
1 | 3 | |
6 | 10,845 | |
- | 1.2% | |
8.6 | 9.5 | |
3 months ago | 8 days ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
TagMaps
-
Stop lying to yourself – you “fix it later”
I think this is perfectly natural - some ideas never manifest or are convincing enough to publish, or sometimes you write code and it turns out not to be used - why produce production ready code in this case. I have a python package that I slowly developed over 5 years, step by step [1]. Everytime I use it, I find many things that I could develop, some I do right then, others I leave for later. I also have a blog [2] - you can see three dates for each blog post:
- the time I first started working on it
- the first time I published it
- the last time it was updated
All of these dates are important. Think of doing things more like a process of chained events, not like a one-stop thing.
[1]: https://github.com/Sieboldianus/TagMaps
[2]: https://du.nkel.dev/
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?
catgrasp - [ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
nlp-recipes - Natural Language Processing Best Practices & Examples
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
TheWatcher - Find a specific username - (Instagram, TikTok, Snapchat, Spotify...)
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
interbotix_ros_toolboxes - Support-level ROS Packages for Interbotix Robots
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
eSCAPE - Earth Landscape Evolution Model: https://escape-model.github.io/
ai-deadlines - :alarm_clock: AI conference deadline countdowns