Objax
An object-oriented machine learning framework built on JAX, designed for simplicity and readability in research.
What is Objax?
Objax is an open-source machine learning framework built on JAX, offering an object-oriented design similar to PyTorch for building and training neural networks. It focuses on simplicity and readability to accelerate research and learning, providing high-performance GPU support through JAX's computational backend. The framework is tailored for researchers who need a customizable and understandable codebase.
Machine learning researchers and practitioners who prefer an object-oriented approach and want a readable, extensible framework for experimentation and prototyping. It is ideal for those already using or interested in JAX's performance benefits.
Developers choose Objax for its clean, minimalist design that prioritizes understandability and ease of modification, unlike more complex frameworks. Its tight integration with JAX ensures high-performance computing while maintaining a researcher-friendly interface.
Overview
Objax is an open-source machine learning framework that accelerates research and learning through a minimalist object-oriented design and a readable codebase. It is built on JAX, a high-performance framework, and is specifically crafted by researchers for researchers, emphasizing ease of understanding, extension, and modification.
Key Features
- Object-Oriented Design — Provides a PyTorch-like interface for intuitive model building and management.
- JAX Integration — Leverages JAX's automatic differentiation and GPU/TPU acceleration for high-performance computing.
- Simplicity and Readability — Focuses on clean, understandable code to facilitate research experimentation and customization.
- Modular Architecture — Includes built-in neural network layers (e.g., Linear, Conv2D) and utilities for rapid prototyping.
- GPU Support — Compatible with CUDA for efficient training on NVIDIA GPUs.
Philosophy
Objax is designed by researchers for researchers, prioritizing simplicity and understandability so users can easily read, extend, and modify it to meet their specific needs.
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