Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A highly efficient implementation of Gaussian Processes in PyTorch
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.
QKeras: a quantization deep learning library for Tensorflow Keras
Run many AI agents at once on your Mac, up to 3x faster.
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
Autonomous multi-agent framework to optimize scientific software
Simple access to the g-force linear acceleration, gauss magnetic and dps angular rate sensors of the LSM9DS0 through I2C.