Name: Chris Li
Type: User
Company: University of Toronto
Bio: Electrical Engineering Ph.D. student at the University of Toronto
Location: Toronto, Ontario, Canada
Blog: www.zonghaoli.com
Chris Li's Projects
Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
Deep Reinforcement Learning of Analog Circuit Designs
BAG framework
BAG2 workspace for fake PDK (cds_ff_mpt)
BAG2 setup for cds_ff_mpt (cadence generic PDK for finfet and multi-patterned technology)
genetic and neural net optimization for circuit design
BAG SERDES generators written by Eric Chang.
general BAG testbench generators and post-processing classes made by Eric Chang.
My Github profile
My Site
Circuit Optimization Factory (COF) is a platform where you can easily optimize your circuit design using various optimization techniques
A Fix-pointed Rudimentary CNN Convolution Accelerator
Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
Deep RL algorithm in pytorch
Mixed Signal Circuits
Convex Optimization
Introduction to Machine Learning
Framework for Easily Invertible Architectures
Implementation of Graph Convolutional Networks in TensorFlow
Python module for creating GDSII stream files, usually CAD layouts.
This repo contains introduction of gm/id method and its application to some OTA design examples.
Must-read papers on graph neural networks (GNN)
Example code for the Gymnasium documentation