kochat
ludwig
Our great sponsors
| kochat | ludwig | |
|---|---|---|
| 1 | 3 | |
| 442 | 10,778 | |
| - | 1.6% | |
| 0.0 | 9.5 | |
| 11 months ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | 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.
kochat
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Kochat: Opensource Korean Chatbot Framework
I have developed 'KoChat' (https://github.com/hyunwoongko/kochat), a framework (similar with RASA) that makes it easy to build Korean chatbots. With only 30 lines of code, you can make a Korean chatbot. KoChat provides the following functions:
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?
kogpt - KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
nlp-recipes - Natural Language Processing Best Practices & Examples
kss - Kss: A Toolkit for Korean sentence segmentation
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
faceswap - Deepfakes Software For All
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
ai-deadlines - :alarm_clock: AI conference deadline countdowns
autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically