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Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
INET Framework for the OMNeT++ discrete event simulator
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Find best-response to a fixed policy in multi-agent RL
Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Implementing expectimax, alpha-beta pruning, and minimax algorithms in a game of Pacman
CS 188 (Introduction to Artificial Intelligence): Project 2: https://www.edx.org/courses/BerkeleyX/CS188/sp13/courseware/Week_4/Project_2_Multiagent/
Projects from the edX (BerkleyX) course: CS188.1x Artificial Intelligence
Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
Code for the paper "Emergent Complexity via Multi-agent Competition"
A customisable 3D platform for agent-based AI research
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
Implementation for ACER in tensorflow and sonnet by deepmind
Code for the Default Final Project (SQuAD) for CS224n, Winter 2018
TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
Paper list of multi-agent reinforcement learning (MARL)
A curated list of awesome adversarial machine learning resources
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Style transfer, deep learning, feature transform
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习