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This is the implementation of the Parallel Simulated Annealing with Constraints (PARSAC) algorithm
BAG (BAG AMS Generator) Primitives Library for SKY130
AIB generators data repository for cds_ff_mpt
Advanced Interface Bus (AIB) die-to-die hardware open source
Optimal placement of boxes in a container: An implementation of Markov Chain Monte Carlo Search Tree in Python - Reinforcement Learning
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Python implementation of Bayesian optimization over permutation spaces.
Use python for designing circuits (experimental) (deprecated in favor of https://electron-lang.org)
The C programming language exercise answers. C 程序设计语言（第2版）习题答案.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Assignments of Physical Design for Nanometer ICs (Spring 2017, Prof. Yao-Wen Chang)
Simulated Annealing to minimize the wirelength
A symbolic time series representation building Brownian bridges
Massively Parallel Deep Reinforcement Learning. 🔥
This is the source code of RPG (Reward-Randomized Policy Gradient)
ICPR 2020: Facial Expression Recognition using Residual Masking Network
🚀 😏 Near Real Time CPU Face detection using deep learning
https://www.kaggle.com/c/data-science-bowl-2019
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Fast and Easy Infinite Neural Networks in Python