regressis (regression of spectroscopic and imaging systematics) is a package to regress variations of target/galaxy density against a set of templates accounting for observational conditions.
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2026-07-21: 5 stars and 4 forks.
AirLLM 70B inference with single 4GB GPU
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Topics: chinese-nlp, finetune, generative-ai, instruct-gpt, instruction-set, llama
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 11,148 stars and 774 forks.
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GitHub repository with 180 stars and 101 forks.
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GitHub repository with 49 stars and 0 forks.
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A game theoretic approach to explain the output of any machine learning model.
GitHub repository with 25,625 stars and 3,731 forks.
Trending score: 2.02; stars gained: +12; forks gained: +1.
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Topics: interpretability, machine-learning, deep-learning, gradient-boosting, shap, shapley
AirLLM 70B inference with single 4GB GPU
GitHub repository with 23,831 stars and 2,691 forks.
Trending score: 5.34; stars gained: +1,001; forks gained: +76.
Language: Jupyter Notebook
Topics: chinese-nlp, finetune, generative-ai, instruct-gpt, instruction-set, llama
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 17,454 stars and 4,364 forks.
Trending score: 3.65; stars gained: +75; forks gained: +17.
Language: Jupyter Notebook
Topics: agents, gcp, gemini, gemini-api, gen-ai, generative-ai
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 11,148 stars and 774 forks.
Trending score: 3.05; stars gained: +30; forks gained: +4.
Language: Jupyter Notebook
GitHub repository with 180 stars and 101 forks.
Trending score: 2.63; stars gained: +12; forks gained: +7.
Language: Jupyter Notebook
GitHub repository with 49 stars and 0 forks.
Trending score: 2.30; stars gained: +25; forks gained: +0.
Language: Jupyter Notebook
A game theoretic approach to explain the output of any machine learning model.
GitHub repository with 25,625 stars and 3,731 forks.
Trending score: 2.02; stars gained: +12; forks gained: +1.
Language: Jupyter Notebook
Topics: interpretability, machine-learning, deep-learning, gradient-boosting, shap, shapley