Model Training
Showing 9 of 45 projects
A deep learning framework for research, development, and production with flexible Python API and C++ core.
A JavaScript application framework for machine learning and its engineering, designed for Web developers.
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
A high-performance, scalable LLM library and reference implementation written in pure Python/JAX for training on TPUs and GPUs.
A collection of models, callbacks, and datasets to extend PyTorch Lightning for applied AI/ML research and production.
A lightweight library providing PyTorch training tools and utilities to simplify and standardize training loops.
A neural network library for Elixir built on Nx, providing functional, model creation, and training APIs for deep learning.
A unified framework for implementing and training deep learning models on tabular data using PyTorch and PyTorch Lightning.
Elephas is a Keras extension for distributed deep learning on Apache Spark, enabling data-parallel training at scale.
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