Popular GitHub Repositories for Analog Circuit

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

IBM Analog Hardware Acceleration Kit

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

An awesome repository & A comprehensive survey on interpretability of LLM attention heads.

Tensor network based quantum software framework for the NISQ era

A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

Modern circuit breaker for Ruby & Rails. Thread-safe, fiber-ready async support. Built-in fallbacks, rich introspection, clean DSL. Memory-efficient with jitter & monitoring.

Digital-analog quantum programming interface

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

Quantum computational chemistry based on TensorCircuit

This repo contains the code that runs RL+GNN to optimize LDOs in SKY130 process.

[ACM MM 2022 - Demo] Restoration of Analog Videos Using Swin-UNet

An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain

Tensor network based quantum software framework: next generation

A quantum reinforcement learning framework based on PyTorch and PennyLane.

This repository contains the source code of Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry