Reverse Dependencies of horovod

The following projects have a declared dependency on horovod:

• deepmd-kit — A deep learning package for many-body potential energy representation and molecular dynamics
• deepmd-kit-cu11 — A deep learning package for many-body potential energy representation and molecular dynamics
• dl4ds — Deep Learning for empirical DownScaling
• l2hmc — L2HMC algorithm for sampling in Lattice QCD
• lightning-Horovod — PyTorch Lightning Strategy for Horovod.
• OmniFold — OmniFold, a library to perform unbinned and high-dimensional unfolding for HEP.
• oracle-automlx — Automated Machine Learning with Explainability
• pali3 — pali3 - Pytorch
• pyro-ppl — A Python library for probabilistic modeling and inference
• qmctorch — Pytorch Implementation of Quantum Monte Carlo
• rainy — Algorithm and utilities for deep reinforcement learning
• rlgraph — A Framework for Modular Deep Reinforcement Learning
• sabathdev — no summary
• sdriving — Design multi-agent environments and simple reward functions such that social driving behavior emerges
• simple-framework — Simple training framework for pytorch, with basic training loops and horovod support
• stoke — Lightweight wrapper for PyTorch that provides a simple unified interface for context switching between devices (CPU, GPU), distributed modes (DDP, Horovod), mixed-precision (AMP, Apex), and extensions (fairscale, deepspeed).
• torchtraining — Functional & flexible neural network training with PyTorch.
• torchtraining-nightly — Functional & flexible neural network training with PyTorch.
• unbinned-unfold — OmniFold, a library to perform unbinned and high-dimensional unfolding for HEP.