Rronal22's Stars
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
thx/gogocode
GoGoCode is a transformer for JavaScript/Typescript/HTML based on AST but providing a more intuitive API.
ljvmiranda921/pyswarms
A research toolkit for particle swarm optimization in Python
wavefrontshaping/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
veeresht/CommPy
Digital Communication with Python
ni/nidaqmx-python
A Python API for interacting with NI-DAQmx
mcmahon-lab/Physics-Aware-Training
Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
JeremieMelo/pytorch-onn
A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing
fancompute/neuroptica
Flexible simulation package for optical neural networks
Telecominfraproject/oopt-gnpy
Optical Route Planning Library, Based on a Gaussian Noise Model
Rassibassi/claude
End-to-end learning of optical communication systems
solgaardlab/neurophox
A simulation framework for unitary neural networks and photonic devices
DASDAE/dascore
A python library for distributed fiber optic sensing
ChalmersPhotonicsLab/QAMpy
QAMpy is a DSP chain for the simulation and equalisation of optical communications signals
Vivswan/AnalogVNN
A fully modular framework for modeling and optimizing analog neural networks
asvela/tektronix-func-gen
Python control of Tektronix AFG1000 and AFG3000 (possibly also other) arbitrary function generators through PyVISA
Lcrypto/Generalized-Mutual-Information-
flaport/photontorch_paper
Data and visualizations for the photontorch paper (Scientific Reports)
Hsuan-Tung/PCICN_RFFingerprinting
kadirgumus/Geometric-Constellation-Shaping
kit-cel/ecoc_20_learning
PyTorch examples accompanying the ECOC 2020 invited presentation about end-to-end learning in optical communications
acidbourbon/M8195A_scripts
helper scripts for the keysight M8195A rev1 AWG
ZhengZY-EE/DAT_MPNN
Dual adaptive training of photonic neural networks
JSChalmers/AE-Based-WDM-Transceivers
santec-corporation/Python-IL-STS
Program to measure Insertion Loss using the Santec's Swept Test System.
acidbourbon/AFG31000_scripts
1tengji1/dfa-scales-to-modern-deep-learning
Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.
shabaz123/afg31000-tools
Tektronix AFG31000 Open Source Tools