The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

A user-friendly program for making electronic circuit diagrams.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Long-Term Evolution Project of Reinforcement Learning

This repository contains a detailed description of how to generate parameterized cells using GDSFactory-based layout automation tool GLayout

Primitives for SKY130 provided by SkyWater.

Optimal gate sizing of digital circuits using geometric programming

A collection of ISCAS,ITC,TAU and other Benchmark Circuits for EDA tool evaluation.

Simulated Annealing based fixed-die standard cell placement engine for IBM benchmark netlists

This GitHub repo is for the OpenROAD and CircuitOps Tutorial at ASP-DAC 2024

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

LLM-Enhanced Bayesian Optimization for Efficient Analog Constraint Generation

地图搜租房【微信公众号、小程序：人生删除指南】

Python library for SerDes modelling

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

RF and Microwave Engineering Scikit

This library is an attempt to make transistor sizing for Analog design less painful.

part of align project

This project shows the design of a frequency synthesizer PLL system that produces a 1.92 GHz signal with a reference input of 30 MHz, with a comparison between using an LC VCO and using a Ring VCO.

Design circuit boards with code! ✨ Get software-like design reuse 🚀, validation, version control and collaboration in hardware; starting with electronics ⚡️

Survey, review, and benchmark of digital low dropout (LDO) voltage regulators (DLDO)

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

服务器资源占用脚本(甲骨文服务器保活脚本)(Oracle Server Keep Alive Script)

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)