liaoweiduo Goto Github PK

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

arml

ARML for ICLR 2020

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

bilibili-mac-client

An unofficial bilibili client for mac

ckeditor5-build-classic

The classic editor build of CKEditor 5.

coda-prompt

PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"

computernetworkingproject

Trojan

continual-learning-baselines

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

database-project-with-qt

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

ga

Genetic Algorithm Exercise

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-soccer

igem-wiki-helper

igem_continue

igem_dataprocessing

jmetal

jMetal: a framework for multi-objective optimization with metaheuristics

jpcap

A Java wrapper around libpcap

liaoweiduo.github.io

lmc

Codebase for the paper titled "Continual learning with local module selection"

mntdp

Implementation of [MNTDP](https://arxiv.org/abs/2012.12631)

multi_objective_learning

navigationtabbar

Navigation tab bar with colorful interactions.

platemo

Evolutionary multi-objective optimization platform

protoprop

Code for the NeurIPS 2021 paper "Independent Prototype Propagation for Zero-Shot Compositionality"

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,

pytorch-maml

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

remind

PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

report-template

Mainly for Qualifying & Annual Report