lambdal / deeplearning-benchmark
Benchmark Suite for Deep Learning
☆264Updated 2 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:
- A library to analyze PyTorch traces.☆370Updated this week
- Pipeline Parallelism for PyTorch☆765Updated 8 months ago
- Provide Python access to the NVML library for GPU diagnostics☆235Updated 5 months ago
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆808Updated this week
- A GPU performance profiling tool for PyTorch models☆504Updated 3 years ago
- Applied AI experiments and examples for PyTorch☆265Updated 2 weeks ago
- A tool for bandwidth measurements on NVIDIA GPUs.☆425Updated last month
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆157Updated 5 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆195Updated this week
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆159Updated this week
- Using the famous cnn model in Pytorch, we run benchmarks on various gpu.☆234Updated 10 months ago
- ☆250Updated 9 months ago
- Microsoft Automatic Mixed Precision Library☆595Updated 7 months ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆362Updated this week
- ☆204Updated 2 weeks ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,043Updated last year
- TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.☆940Updated this week
- Implementation of a Transformer, but completely in Triton☆265Updated 3 years ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆248Updated 6 months 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 5 months ago
- Fast low-bit matmul kernels in Triton☆299Updated this week
- Container plugin for Slurm Workload Manager☆340Updated 6 months ago
- This repository contains the experimental PyTorch native float8 training UX☆224Updated 9 months ago
- Zero Bubble Pipeline Parallelism☆389Updated last week
- oneCCL Bindings for Pytorch*☆97Updated 3 weeks ago
- Cataloging released Triton kernels.☆221Updated 4 months ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support DeepSeek FP8/FP4☆820Updated this week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆324Updated this week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆476Updated 3 weeks ago
- Microsoft Collective Communication Library☆345Updated last year