CSGHub
tensor-house
| CSGHub | tensor-house | |
|---|---|---|
| 3 | 4 | |
| 831 | 1,193 | |
| 51.4% | - | |
| 9.6 | 7.5 | |
| 3 days ago | 5 months ago | |
| Vue | Jupyter Notebook | |
| 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.
CSGHub
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CSGHub has new version release
CSGHub is an opensource large model assets platform just like on-premise huggingface which helps to manage datasets, model files, codes and more.
The new version fix the bugs and enhanced user experience of model/dataset management.
https://github.com/OpenCSGs/CSGHub/releases/tag/v0.2
- Show HN: Open-source large model assert management platform
tensor-house
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Supply Chain Uses Cases
I still have this on my reading list, it has quite some interesting SC applications. https://github.com/ikatsov/tensor-house
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How to use the code to do analysis with my data
Hi, how can i use the code of an analysis like this https://github.com/ikatsov/tensor-house/blob/master/pricing/price-optimization-multiple-time-intervals.ipynb but with my data?
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What are some applications of Data Science in Digital Marketing?
This is the companion github to the book, it doesn't have all the use cases, but there are a decent amount of code samples to get you started.
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Machine learning Applications in Marketing
Happy to help out! That website I linked has a link to the book PDF, so you can check it out yourself. I guess the Amazon reviews must have missed it, but there is a companion github for a selection of models in the book that may be helpful.
What are some alternatives?
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
EconML - ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
evadb - Database system for AI-powered apps
Robyn - Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
DB-GPT-Hub - A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
models - A collection of pre-trained, state-of-the-art models in the ONNX format
frugal - ⚡️ Transform AI/ML operations: Transparency, Control and Cost Optimization. ⚡️
Workshops - Workshops organized to introduce students to security, AI, blockchain, AR/VR, hardware and software
text-embeddings-inference - A blazing fast inference solution for text embeddings models
models - Models and examples built with TensorFlow
vectordb-recipes - High quality resources & applications for LLMs, multi-modal models and VectorDBs
mta - Multi-Touch Attribution