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Accelerated Methods for Deep Reinforcement Learning
Deep Reinforcement Learning of Analog Circuit Designs
Berkeley Analog Generator
It's all in the name: these are Blender add-ons ;-)
The Berkeley Photonics Generator (BPG) is a Python framework that enables the generation and simulation of photonics layout
Approximating Polynomials Using CMA-ES
This repository hold the CommDspy package where I implemented some signal processing procedures often used
Deep Learning for Time Series Classification
Deep learning toolkit-enabled VLSI placement
How to correctly write a flicker-noise model for RF simulation.
Octave and MATLAB toolbox for GDSII stream format
Matplotlib Jupyter Integration
An educational AI robot based on NVIDIA Jetson Nano.
Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.
Support for jupyter notebook templates in jupyterlab
The Berkeley Model and Algorithm Prototyping Platform
free finite-difference time-domain (FDTD) software for electromagnetic simulations
Use machine learning/data science techniques to model SERDES's CTLE
A wrapper for the cMPFIT library for the Nim programming language, https://vindaar.github.io/nim-mpfit/
Open standard for machine learning interoperability
Python implementation of CMA-ES
QUCS, (http://qucs.sf.net), is a powerful open-source circuit simulator, python-qucs is a Python package that allows to automate the process of preparing input netlists for several simulations, run them, and export the results.
A Jupyter - Three.js bridge
QAMpy is a DSP chain for the simulation and equalisation of optical communications signals
Reinforcement Learning in PyTorch
Package for KLayout to add integrated optics / silicon photonics functionality (waveguides, netlist extraction, circuit simulations, etc)
SiEPIC EBeam PDK & Library, for SiEPIC-Tools and KLayout
Python tools for signal integrity applications
Silicon Photonics measurement data on manufacturing variability
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.