wookayin / gpustatLinks
π A simple command-line utility for querying and monitoring GPU status
β4,319Updated 8 months ago
Alternatives and similar repositories for gpustat
Users that are interested in gpustat are comparing it to the libraries listed below
Sorting:
- A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Pythonβ1,210Updated last year
- GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcommβ9,911Updated 2 months ago
- An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.β6,425Updated 2 weeks ago
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learβ¦β5,587Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)β9,341Updated last month
- π A web interface of gpustat: monitor GPU clusters at a lookβ348Updated 2 years ago
- A small package to create visualizations of PyTorch execution graphsβ3,481Updated last year
- Multi-GPU CUDA stress testβ2,048Updated 2 months ago
- Model summary in PyTorch similar to `model.summary()` in Kerasβ4,065Updated last year
- View model summaries in PyTorch!β2,889Updated last week
- CUDA integration for Python, plus shiny featuresβ2,010Updated last month
- A tool for enriching the output of nvidia-smi.β572Updated last year
- GPU Accelerated t-SNE for CUDA with Python bindingsβ1,913Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorchβ8,885Updated last week
- PyTorch extensions for high performance and large scale training.β3,394Updated 8 months ago
- torch-optimizer -- collection of optimizers for Pytorchβ3,159Updated last year
- YACS -- Yet Another Configuration Systemβ1,329Updated 3 years ago
- A lightweight library for PyTorch training tools and utilitiesβ1,718Updated last week
- NumPy & SciPy for GPUβ10,694Updated this week
- Profiling and inspecting memory in pytorchβ1,076Updated 3 months ago
- Make huge neural nets fit in memoryβ2,827Updated 5 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.β4,722Updated 2 weeks ago
- Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.β1,833Updated last month
- Google Drive Public File Downloader when Curl/Wget Failsβ5,019Updated 4 months ago
- Machine learning metrics for distributed, scalable PyTorch applications.β2,386Updated last week
- FFCV: Fast Forward Computer Vision (and other ML workloads!)β2,989Updated last year
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.β1,857Updated last year
- TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.β1,003Updated last week
- Python 3.8+ toolbox for submitting jobs to Slurmβ1,555Updated 2 weeks ago
- πͺβKnock Knock: Get notified when your training ends with only two additional lines of codeβ2,825Updated 2 years ago