JAX
Google's machine learning framework for transforming numerical functions and accelerating research.
Description
Google's machine learning framework for transforming numerical functions and accelerating research.
Key Features
- Composable function transformations including JIT compilation and automatic differentiation
- Seamless hardware acceleration across TPUs, GPUs, and CPUs without code changes
- Functional programming paradigm ensuring reproducible research workflows
Use Cases
- Prototyping novel neural network architectures for academic research
- Optimizing high-performance numerical simulations in physics and computational chemistry
Pricing
Open-source under Apache 2.0 license
Google推出的用于变换数值函数的机器学习框架
Similar Tools
PyTorch
Popular open-source machine learning library for research and production.
TensorFlow
Google's open-source machine learning and AI library.
大模型实验室
Online platform for training, fine-tuning, and AI research education.
Google AI Studio
Free platform to experience and test Google's latest AI models and Gemini family.
What is $JAX?
$JAX is a $development AI tool that $Google's machine learning framework for transforming numerical functions and accelerating research. It $helps with machine-learning, research, google.
Stay Updated
Get the latest AI tools delivered to your inbox
We respect your privacy. Unsubscribe at any time.