TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
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Updated
Oct 14, 2023 - Java
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
A curated list of dedicated resources and applications
Yet another speech toolkit based on Kaldi and PyTorch
Neural network based solvers for partial differential equations and inverse problems 🌌. Implementation of physics-informed neural networks in pytorch.
This repository provides the Open-CE environment files and version definitions for each Open-CE release.
Distributed, mixed-precision training with PyTorch
Code for tutorials and examples
Application of the L2HMC algorithm to simulations in lattice QCD.
GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)
Quick run NLP in many task 快速运行分类、序列标注、匹配、生成等NLP任务的Tensorflow框架 (中文 NLP 支持分布式)
Create Horovod cluster easily using Ansible
Multi-GPU training with TensorFlow on Piz Daint
Distributed Training of Bayesian Neural Networks at Scale
Distributed training of digital pathology tissue slide images using SageMaker and Horovod.
Reimplement Deep Cell with Keras and Horovod.
This is a sub-repository in building to create acoustic model in Mandarin speech recognition.
Experiments with low level communication patterns that are useful for distributed training.
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