A scheduler for GPU/CPU tasks
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Updated
Mar 6, 2024 - C
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A scheduler for GPU/CPU tasks
c linux debian cpp makefile job-scheduler slurm-job slurm slurm-job-scheduler gpu-support task-spooler
Providing reproducibility in deep learning frameworks
deep-learning tensorflow seed pytorch noise reproducibility seeder noise-reduction ngc frameworks variance-reduction atomics gpu-support determinism gpu-determinism deterministic-ops d9m r13y fwr13y
Graphics Processing Unit (GPU) Architecture Guide
awesome amd gpu graphics vulkan cuda nvidia gpgpu gpu-acceleration awesome-list gpu-computing amdgpu nvidia-gpu gpu-monitoring gpu-programming gpu-support gpgpu-computing amd-gpu amd-gpus amd-gpu-driver
Named dimensions and indexing for julia arrays and other data
HPC solver for nonlinear optimization problems
hpc optimization solver mpi cuda constrained-optimization nonlinear-programming-algorithms nonlinear-optimization nonlinear-programming interior-point-method rocm bfgs parallel-programming quasi-newton gpu-support math-physics radiuss acopf nonsmooth-optimization interior-point-optimizer
Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
machine-learning csharp neural-network gpu cuda recurrent-neural-networks machine-learning-library machinelearning convolutional-neural-networks cuda-support gpu-support
Python Suite for Advanced General Ensemble Simulations
python openmm hacktoberfest enhanced-sampling ase gpu-support jax collective-variables hoomd-blue scientific-machine-learning miccom pysages
GPU-accelerated Quantum ESPRESSO using CUDA FORTRAN
gpu nvidia density-functional-theory quantum-espresso cuda-fortran material-science pgi gpu-support plane-waves qe-gpu
Computer Vision And Neural Network with Xamarin
opencv computer-vision neural-network tensorflow calibration vision eye-tracking face-tracking gpu-support eye-gaze onnx-models
Zero-dependency FFmpeg-based batch framework for repetitive and bulk high-quality transcoding in one click
windows ffmpeg transcoding image-processing video-processing bulk-operation transcode video-transcoding repetitive-tasks cuda-support video-conversion video-encoding ffmpeg-command transcode-video gpu-support hevc-encoder video-conversion-gif high-quality everyday-tasks
Yolo object detection browser, Power by onnxruntime-web, Support WebGPU, wasm(cpu). Webcam support for live detection, Add your custom model
react github-pages gh-pages wasm webapp object-detection webgpu gpu-support opencv-js cpu-support onnxruntime-web onnxruntime-gpu yolov8 yolov9
Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
A Folding@Home Docker container with GPU support
docker cpu opencl amd64 nvidia-docker alzheimers-disease foldingathome parkinsons-disease gpu-support huntingtons-disease covid-19 folding-at-home
Real-time performance metrics and statistics for your Nvidia GPU
docker dashboard docker-compose self-hosted nvidia monitoring-server nvidia-smi nvidia-docker homelab mistral monitoring-tool nvidia-cuda nvidia-gpu gpu-monitoring gpu-support ollama
"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)
photos neural-network rest-api facial-recognition face-recognition face-detection mlp cuda-support celebrities gpu-support mlp-networks video-guide
Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-Based Cross-Validation With Centering and Scaling for XTX and XTY by Engstrøm and Jensen (2025). This package also includes options to use sample weights for PLS modeling.
data-science algorithm linear-regression partial-least-squares-regression pls gpu-support partial-least-squares weighted-regression tpu-acceleration weighted-least-squares weighted-linear-regression plsda plsr
A high-performance C/C++ inference server for Qwen3-ASR , optimized for CPU/GPU real-time streaming speech recognition.
Add GPU support to your Singularity container!
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