Archives for JAX

08 Sep

Apple Springs a Surprise, Embraces Open-Source Training Method

Vandana Nair AI

Apple recently released the code for its internal software used for training its new LLM on GitHub

The post Apple Springs a Surprise, Embraces Open-Source Training Method appeared first on Analytics India Magazine.

25 Apr

Why is Google’s JAX so popular?

Poulomi Chatterjee DeepMind JAX

Despite JAX’s reputation as an accelerator, it isn’t fully optimised for per-operating dispatch in CPU computing.

20 Mar

How to speed up machine learning operations with Jax?

Yugesh Verma Developers Corner

Jax is a library that can be considered as NumPy for CPU, TPU, and GPU. This can provide us with an efficient and automatic differentiation of the projects and research that are enabling machine learning in it.

14 Jan

PyTorch’s cult following

Meeta Ramnani Caffe2

The data from Papers With Code suggests PyTorch is the most favourite library among researchers.

09 Dec

Google Launches A Tool That Can Scale and Parallelize Neural Networks

Meeta Ramnani BigSSL

GSPMD separates programming an ML model from parallelization and is capable of scaling most deep learning network architectures

27 Jul

Top 8 JAX Libraries for Data Scientists in 2021

Debolina Biswas data science

- EMLP
- FedJAX
- PIX
- BRAX
- EFAX
- Sklearn-jax-kernels

The post Top 8 JAX Libraries for Data Scientists in 2021 appeared first on Analytics India Magazine.

09 Mar

Reinventing Deep Learning Operation Via Einops

Aishwarya Verma chainer

Einops, an abbreviation of Einstein-Inspired Notation for operations is an open-source python framework for writing deep learning code in a new and better way. Einops provides us with new notation & new operations. It is a flexible and powerful tool to ensure code readability and reliability with minimalist yet powerful API. Supported Frameworks numpy pytorch…

The post Reinventing Deep Learning Operation Via Einops appeared first on Analytics India Magazine.

05 Nov

DeepMind Introduces Two New Neural Network Verification Algorithms & A Library

Ram Sagar DeepMind

Machine learning is mostly about building good function approximations from data. And, when it comes to good approximations, deep learning algorithms have a great following as they are founded on principles of universal approximation. The adoption of these deep neural networks has been high in the past couple of years. But, as these systems scale,…

The post DeepMind Introduces Two New Neural Network Verification Algorithms & A Library appeared first on Analytics India Magazine.