Hedgehog Lab
Hedgehog-Computing
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environm…
OPENAGENTSKILL / DIRECTORY
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Results: 68
Hedgehog-Computing
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environm…
MetalPetal
A GPU accelerated image and video processing framework built on Metal.
BlazingDB
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
aiptimizer
Fast GPU OCR server. 270 img/s on FUNSD. TensorRT FP16, PP-OCRv5, HTTP + gRPC.
OpenRaiser
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instan…
datoviz
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
NVIDIA-AI-Blueprints
cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
scverse
rapids-singlecell: GPU-accelerated framework for scRNA analysis
helmholtz-analytics
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
runmat-org
Open-source runtime for math. Write MATLAB syntax, run on CPU + GPU across platforms (Mac/Win/Linux/Web).
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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