petuum / autodistLinks
Simple Distributed Deep Learning on TensorFlow
☆134Updated this week
Alternatives and similar repositories for autodist
Users that are interested in autodist are comparing it to the libraries listed below
Sorting:
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆55Updated 4 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆452Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆44Updated 2 years ago
- Distributed ML Optimizer☆35Updated 4 years ago
- Research and development for optimizing transformers☆131Updated 4 years ago
- ☆42Updated 2 years ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆65Updated 3 years ago
- A tensor-aware point-to-point communication primitive for machine learning☆283Updated last month
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36Updated 5 years ago
- Deadline-based hyperparameter tuning on RayTune.☆32Updated 6 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆137Updated 3 years ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆66Updated last year
- A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.☆132Updated 3 years ago
- A library for syntactically rewriting Python programs, pronounced (sinner).☆67Updated 3 years ago
- ☆145Updated last year
- An analytical performance modeling tool for deep neural networks.☆92Updated 5 years ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Updated 5 years ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆164Updated 3 weeks ago
- Runtime Tracing Library for TensorFlow☆43Updated 7 years ago
- ☆392Updated 3 years ago
- Home for OctoML PyTorch Profiler☆113Updated 2 years ago
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆63Updated 3 years ago
- Fine-grained GPU sharing primitives☆148Updated 6 months ago
- Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies)…☆29Updated 4 years ago
- A schedule language for large model training☆152Updated 5 months ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆296Updated last year
- This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.☆36Updated last year
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆149Updated last year
- A Python library transfers PyTorch tensors between CPU and NVMe☆125Updated last year
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆194Updated 3 years ago