NumPy & SciPy for GPU
- cuda
- cudnn
- cublas
- cusolver
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NumPy & SciPy for GPU
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
A PyTorch Library for Accelerating 3D Deep Learning Research
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.