☆84Feb 11, 2026Updated 3 months ago
Alternatives and similar repositories for Merak
Users that are interested in Merak are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DELTA-pytorch:DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation☆12Apr 16, 2024Updated 2 years ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆71Mar 20, 2025Updated last year
- A resilient distributed training framework☆100Apr 11, 2024Updated 2 years ago
- ☆12Apr 30, 2024Updated 2 years ago
- ☆78May 4, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Dec 11, 2022Updated 3 years ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆146Jun 25, 2022Updated 3 years ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆44Nov 4, 2022Updated 3 years ago
- Dynamic resources changes for multi-dimensional parallelism training☆31Aug 22, 2025Updated 8 months ago
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Jan 8, 2022Updated 4 years ago
- Sequence-level 1F1B schedule for LLMs.☆19Jun 4, 2024Updated last year
- ☆14Jan 12, 2022Updated 4 years ago
- Zero Bubble Pipeline Parallelism☆456May 7, 2025Updated last year
- FTPipe and related pipeline model parallelism research.☆44May 16, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- nnScaler: Compiling DNN models for Parallel Training☆129Apr 8, 2026Updated last month
- Official implementation for the paper Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapp…☆14Nov 17, 2025Updated 6 months ago
- ☆27Aug 31, 2023Updated 2 years ago
- Work in progress LLM framework.☆15Oct 31, 2024Updated last year
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Dec 11, 2020Updated 5 years ago
- ☆38Jan 15, 2021Updated 5 years ago
- An experimental parallel training platform☆57Mar 25, 2024Updated 2 years ago
- A library to analyze PyTorch traces.☆518Updated this week
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆335Dec 13, 2025Updated 5 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆52May 31, 2023Updated 2 years ago
- Training and serving large-scale neural networks with auto parallelization.☆3,187Dec 9, 2023Updated 2 years ago
- ☆17Dec 9, 2022Updated 3 years ago
- A schedule language for large model training☆152Aug 21, 2025Updated 9 months ago
- HeliosArtifact☆22Sep 27, 2022Updated 3 years ago
- Code for reproducing experiments performed for Accoridon☆13Jun 11, 2021Updated 4 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆36Jan 9, 2023Updated 3 years ago
- Pipeline Parallelism for PyTorch☆786Aug 21, 2024Updated last year
- Fine-grained GPU sharing primitives☆148Jul 28, 2025Updated 9 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A curated list of awesome projects and papers for distributed training or inference☆278Oct 8, 2024Updated last year
- ☆393Nov 4, 2022Updated 3 years ago
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆24Mar 1, 2024Updated 2 years ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,878Updated this week
- ☆85Dec 2, 2022Updated 3 years ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Sep 21, 2023Updated 2 years ago
- Official implementation of TBA for async LLM post-training.☆31Nov 5, 2025Updated 6 months ago