lambdal / deeplearning-benchmarkLinks
Benchmark Suite for Deep Learning
☆274Updated 6 months ago
Alternatives and similar repositories for deeplearning-benchmark
Users that are interested in deeplearning-benchmark are comparing it to the libraries listed below
Sorting:
- Pipeline Parallelism for PyTorch☆775Updated last year
- TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.☆976Updated this week
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆851Updated this week
- A library to analyze PyTorch traces.☆404Updated last week
- Provide Python access to the NVML library for GPU diagnostics☆245Updated 8 months ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆383Updated this week
- A tool for bandwidth measurements on NVIDIA GPUs.☆515Updated 4 months ago
- Container plugin for Slurm Workload Manager☆373Updated last week
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆167Updated 3 weeks ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,059Updated last year
- A GPU performance profiling tool for PyTorch models☆504Updated 4 years ago
- Using the famous cnn model in Pytorch, we run benchmarks on various gpu.☆242Updated last year
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆158Updated 2 months ago
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆349Updated this week
- oneCCL Bindings for Pytorch*☆100Updated 3 weeks ago
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆180Updated last month
- NCCL Tests☆1,227Updated last month
- NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs☆565Updated last week
- cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it☆606Updated last week
- The Triton backend for the PyTorch TorchScript models.☆158Updated 3 weeks ago
- ☆122Updated last week
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆238Updated this week
- This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.☆37Updated last year
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆206Updated last week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆484Updated 3 weeks ago
- Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.☆508Updated 4 months ago
- ☆251Updated last year
- Microsoft Automatic Mixed Precision Library☆616Updated 10 months ago
- This repository contains the results and code for the MLPerf™ Training v2.0 benchmark.☆29Updated last year
- Large Model Support in PyTorch☆134Updated 3 years ago