ucbrise / hyperschedLinks
Deadline-based hyperparameter tuning on RayTune.
☆31Updated 5 years ago
Alternatives and similar repositories for hypersched
Users that are interested in hypersched are comparing it to the libraries listed below
Sorting:
- Simple Distributed Deep Learning on TensorFlow☆134Updated 4 months ago
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Updated 2 years ago
- Distributed ML Optimizer☆34Updated 4 years ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆65Updated last year
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago
- WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.☆17Updated 3 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
- An analytical performance modeling tool for deep neural networks.☆91Updated 5 years ago
- A library that translates Python and NumPy to optimized distributed systems code.☆132Updated 3 years ago
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Updated 3 years ago
- Runtime Tracing Library for TensorFlow☆43Updated 6 years ago
- ☆31Updated 3 years ago
- ☆42Updated 2 years ago
- Research and development for optimizing transformers☆131Updated 4 years ago
- Some microbenchmarks and design docs before commencement☆12Updated 4 years ago
- Home for OctoML PyTorch Profiler☆114Updated 2 years ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated last month
- A library for syntactically rewriting Python programs, pronounced (sinner).☆68Updated 3 years ago
- [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining☆11Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆62Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆43Updated 2 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36Updated 5 years ago
- Hyperparameter tuning via uncertainty modeling☆48Updated last year
- Resource-adaptive cluster scheduler for deep learning training.☆448Updated 2 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆136Updated 3 years ago
- ☆47Updated 2 years ago
- Python bindings for UCX☆140Updated last month
- Model-less Inference Serving☆92Updated last year
- DLPack for Tensorflow☆35Updated 5 years ago
- Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions☆21Updated 3 years ago