Modular hardware build system

Revisiting Discrete Gradient Estimation in MADDPG

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Deep Reinforcement Learning of Analog Circuit Designs

Debugging Machine Learning Models with Python, published by Packt

verilogA cells

《Python3 标准库》电子书和配套代码 "The Python Standard Library by Example" ebook and source code 一本又厚又全的讲解Python3标准库的书籍（1000多页）适合当作字典参考或者闲暇时慢慢阅读。

Using simulated annealing optimization to generate polish expression which has applications in Chip design and VLSI

C++ implementation for Sequence Pair fixed-outline chip floorplanner

Corblivar is a simulated-annealing-based floorplanning suite for 3D ICs

Let your Claude able to think

Open Circuit Benchmark OCB and source code for CktGNN (https://openreview.net/forum?id=NE2911Kq1sp).

OpenSource GPU, in Verilog, loosely based on RISC-V ISA

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

This repository contains the code for this paper: Chiplet-Gym: An RL-based Optimization Framework for Chiplet-based AI Accelerator

Complete collection of my PGF/TikZ figures.

Docker image to run Samba (compatible Time Machine for macOS)

Setup encrypted Timemachine Backup through CLI

Create beautiful diagrams just by typing notation in plain text.

The use of Gumbel-softmax for a multi-agent reinforcement learning in a simple gridworld

A solver to find a solution of the 2D rectangle packing problem by simulated annealing (SA) optimization.

Risc-V Chiplet Optimization

Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.

LLM101n: Let's build a Storyteller

Solution to 2021 ICCAD Contest Problem B (Routing with Cell Movement Advanced)

This course aims at providing students basic knowledge and background on VLSI CAD. The course will cover various topics on automation across the design of a VLSI circuit including but not limited t…

VLSI placement and routing benchmarks