Search Results for "output"

Protenix is an open-source, trainable PyTorch reimplementation of AlphaFold 3, developed by ByteDance with the goal of democratizing high-accuracy protein structure prediction for computational biology and drug-discovery research. Protenix provides a complete pipeline for turning protein sequences (with optional MSA / sequence alignment) or structural inputs (e.g. PDB/CIF) into full 3D atomic-level structure predictions. It supports both “full” models and lightweight variants such as...

...Select resistor or capacitor values from E3 to E192 series, convert two-port parameter sets, calculate operational characteristics (voltage gain, current gain, input impedance, output impedance) for two-port circuits connected to generator and load impedance, convert ratio to dB and vice versa, calculate parallel impedances, and round values to a number of significant leading digits.

...Somewhat more useful then a calculator but not sophisticated as mathcad or linux octave. Small app, does not take up much space. The following is an example of the type of input it takes: apple = 3, pear = 7 78 * (apple + pear) the output would be 780

iHome is a fully tested Smart Home Automation system using the Raspberry Pi Zero WiFi SBC and Linux OS and has all the functional features of NEST or ECOBEE smart thermostats with the added benefit of full privacy and security at less than half the price! It incorporates MBLogic with algorithms and Modbus coms for HVAC home control via the ionware modbus compatible ionC1 input/output controller board. The iHome software system comes fully configured as a SD Card image file for Raspberry Pi Zero wifi Plug and Play capability complete with MBLogic, Node-RED and MQTT already fully installed and ready to go. See wiki instructions to burn the SD Card image file, insert into your RPi Zero and Plug and Play. ...

Mitzuli is an open source translator app for Android featuring a full offline mode, voice input (ASR), camera input (OCR), voice output (TTS), and more!

...This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number of membership functions in output.