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Explore how jax scientists are decoding the genetic and molecular factors underlying biological function and human disease. 近年来，谷歌于 2018 年推出的 JAX 迎来了迅猛发展，很多研究者对其寄予厚望，希望它可以取代 TensorFlow 等众多深度学习框架。 但 JAX 是否真的适合所有人使用呢？ 这篇文章对 JAX 的方方面. 高性能数组计算 JAX 是一个面向加速器的数组计算和程序转换的 Python 库，专为高性能数值计算和大规模机器学习而设计。
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在本文中，我们了解了 JAX 是什么，并了解了它的一些基本概念：NumPy 接口、JIT 编译、XLA、优化内核、程序转换、自动微分和函数式编程。 本文介绍了JAX——一个结合了NumPy灵活性与GPU加速特性的科学计算库。 文章演示了如何利用JAX进行矩阵运算、自动微分及向量化操作，并对比了与传统库的性能差异。 JAX ® 小鼠是世界上研究发表数量居于前列且表型研究充分的小鼠模型。 我们的明星小鼠模型数量充足，能满足您的生物医学和药物发现研究需求。
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