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ndq

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

netlogo

turtles, patches, and links for kids, teachers, and scientists

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

njunmt-tf

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

nmt

TensorFlow Neural Machine Translation Tutorial

nsc

Neural Sentiment Classification

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

nsgaiii

An implementation of NSGA-III in Python.

offline-pre-trained-multi-agent-decision-transformer

oodp

Object-Oriented Dynamics Predictor

openne

An Open-Source Package for Network Embedding (NE)

paddle

PArallel Distributed Deep LEarning

pcnn

A neural architecture for relation extraction task implemented in Tensorflow.

phoenixgo

Go AI program which implements the AlphaGo Zero paper

planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

playground

Play with neural networks!

prr

Meta-Reinforcement Learning with Policy Residual Representation

pulse-coupled_neural_networks_pcnn

Computational Mechanisms of Pulse-Coupled Neural Networks: A Comprehensive Review

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pycma

Python implementation of CMA-ES

pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

pymoo

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

pysc2

StarCraft II Learning Environment

pysc2-agents

This is a simple implementation of DeepMind's PySC2 RL agents.

python-sc2

A StarCraft II bot api client library for Python 3

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.