Showing 1-20 of 54 projects
Keras 3 is a multi-backend deep learning framework for building and training models with support for JAX, TensorFlow, PyTorch, and OpenVINO.
Open-source Grok-1 model for local inference with JAX
JAX is a high-performance numerical computing library for Python, enabling transformations like differentiation and JIT compilation for GPUs/TPUs.
Interactive deep learning book with code and math
Curated list of top machine learning Python libraries, updated weekly with quality scores.
Ivy is a Python library that simplifies converting machine learning code between frameworks like PyTorch, TensorFlow, and JAX.
The AI developer platform to train and fine-tune models, and manage models from experimentation to production.
Feign is a Java HTTP client library that makes writing HTTP clients easier by providing a declarative interface.
A flexible and powerful tensor operations library for readable and reliable deep learning code in Python.
Dropwizard is a Java web framework for building production-ready RESTful services.
Trax is a deep learning library that provides clear code and fast performance for building AI models.
Flax is a flexible neural network library for JAX, designed for easy experimentation and research in machine learning.
Python code for a book on probabilistic machine learning, with support for various ML frameworks.
Transformers built with JAX and Haiku for mesh-based AI applications.
This repository provides interview preparation resources for AI and machine learning developers.
A JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU for speech-to-text tasks.
A Python library for scientific machine learning and physics-informed learning
JAX library for computer vision research with transformers, attention mechanisms, and vision models
A retargetable MLIR-based machine learning compiler and runtime toolkit for AI/ML developers.
A JAX-based neural network library for building and training deep learning models.
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