libgl1-mesa-dri
free implementation of the OpenGL API -- DRI modules
This version of Mesa provides GLX and DRI capabilities: it is capable of
both direct and indirect rendering. For direct rendering, it can use DRI
modules from the libgl1-mesa-dri package to accelerate drawing.
libopenrawgnome7t64
free implementation for RAW decoding (GNOME integration)
libopenraw is an ongoing project to provide a free software implementation for
camera RAW files decoding. One of the main reason is that dcraw is not suited
for easy integration into applications, and there is a need for an easy to use
API to build free software digital image processing application.
xserver-xorg-video-nvidia-tesla-470
NVIDIA binary Xorg driver (Tesla 470 version)
The NVIDIA binary driver provides optimized hardware acceleration of
OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
for graphics cards using NVIDIA chip sets.
onnxruntime-tools
cross-platform inference and training ML accelerator (tools)
ONNX Runtime is a performance-focused complete scoring engine for Open Neural
Network Exchange (ONNX) models, with an open extensible architecture to
continually address the latest developments in AI and Deep Learning. ONNX
Runtime stays up to date with the ONNX standard with complete implementation of
all ONNX operators, and supports all ONNX releases (1.2+) with both future and
backwards compatibility. Please refer to this page for ONNX opset compatibility
details.
python3-plugwise
Library for interacting with Plugwise Smile and Stretch devices
This library connects with Plugwise Smile and Stretch devices to manage and
monitor home automation systems. It interacts with various Plugwise products
such as the Smile Anna thermostat, Smile P1 energy meter, and Adam zoned
heating control. The library communicates locally, requiring the IP address
and authentication details of each device in the network. Users can manage
heating schedules, monitor energy usage, and control devices like smart plugs
and thermostats through a networked gateway. Integration with these devices
enables insights into household energy consumption, temperature regulation,
and smart device management for improved home automation experiences.