client
ludwig
client | ludwig | |
---|---|---|
2 | 3 | |
90 | 10,827 | |
- | 1.0% | |
9.8 | 9.5 | |
4 days ago | 6 days 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.
client
-
It was not "Good First Issue"
it was really all there, so what did I do?, I commented took the issue Issue 366 I mean it sounded simple enough, update a function so that we can downlaod all data with no arguments involved.
-
[P] Stream and Upload Versioned Data
Check out the official project https://github.com/dagshub/client
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?
features - A collection of development container 'features' for machine learning and data science
nlp-recipes - Natural Language Processing Best Practices & Examples
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
analog-watch-recognition - Reading time from analog clocks
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
pubmedflow - Data Collection API for pubmed
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
dvc - 🦉 ML Experiments and Data Management with Git
ai-deadlines - :alarm_clock: AI conference deadline countdowns