#jupyter_notebook#jax
Flax is a library for creating neural networks with JAX. It offers a flexible way to build and analyze these networks. The new Flax NNX API makes it easier to work with neural networks by using regular Python objects, which helps in creating, debugging, and analyzing models more efficiently. This means users can express their models in a more intuitive way, making it simpler to develop and modify neural networks. Flax also provides many tools and examples to help users get started quickly.
https://github.com/google/flax
Not all carbon is the same - some heats the planet, others help #cool it.
1/. Black Carbon – Soot from incomplete combustion; strong warming effect
2/. Brown Carbon – Biomass smoke aerosols; absorbs sunlight
3/. Blue Carbon – Stored in coastal & marine ecosystems
4/. Green Carbon – Stored in forests, soils, and vegetation
5/. Red Carbon – Biological matter on snow & ice; accelerates melting
6/. Grey Carbon – Fossil fuel–based industrial emissions
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