Stars
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
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
This library is an attempt to make transistor sizing for Analog design less painful.
SPICE Netlist Datasets: https://symbench.github.io/spice-datasets/
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