skylineprof / skyline
🏙 Interactive in-editor performance profiling, visualization, and debugging for PyTorch neural networks.
☆32Updated 2 years ago
Alternatives and similar repositories for skyline:
Users that are interested in skyline are comparing it to the libraries listed below
- MONeT framework for reducing memory consumption of DNN training☆173Updated 3 years ago
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated 11 months ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆130Updated 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
- Research and development for optimizing transformers☆125Updated 4 years ago
- ☆22Updated 4 years ago
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 5 years ago
- This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.☆56Updated last year
- Programmable Neural Network Compression☆148Updated 2 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Lightweight and Parallel Deep Learning Framework☆261Updated 2 years ago
- ☆57Updated 2 years ago
- ParaDnn: A systematic performance analysis methodology for deep learning.☆39Updated 5 years ago
- Benchmark PyTorch Custom Operators☆14Updated last year
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 6 years ago
- ☆70Updated 5 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆137Updated 4 years ago
- Train ImageNet in 18 minutes on AWS☆129Updated last year
- ☆43Updated last year
- ☆23Updated 5 months ago
- ☆47Updated 2 years ago
- A list of awesome neural symbolic papers.☆47Updated 2 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated last year
- Block-sparse primitives for PyTorch☆155Updated 4 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads☆43Updated 4 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆26Updated last year
- A self-contained version of the tutorial which can be easily cloned and viewed by others.☆24Updated 5 years ago
- Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies)…☆28Updated 3 years ago