tedrepo Goto Github PK

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

logpy

Logic Programming in Python

lsbasi

Let's Build A Simple Interpreter

lstm_ddpg

try lstm and ddpg on pomdp in openai gym

maca

Goal Oriented Dialog System

machine_learning_practice

Tensorflow or Numpy implementation of basic machine learning algorithms

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml-tensorflow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

maml-tf

Tensorflow Implementation of MAML

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

markov_logic_network

marktool

基于web的开源通用文本标注工具。支持命名实体识别的实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的预标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提高了用户体验和标注效率。

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

math-for-programmers

Source code for the book, Math for Programmers

matrixflow

一个底层基于matrix的自动求导框架，并封装了一个DNN和一个RNN

matrixslow

A simple deep learning framework in pure python for purpose of learning in DL

mcts-travel-salesman

Monte Carlo tree search (MCTS) on traveling salesman problem (TSP)

mem2seq

memdm_code

Code for memory-augmented dialogue management.

memorygan-tensorflow

memristor-models

Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.

memristor_simulations

Simulations using Brian for memristor-based neural networks using STDP learning

meta-critic-networks

Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning

mil

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

minerva

Meandering In Networks of Entities to Reach Verisimilar Answers

miniview

js mini view

mit_6.034_2015

Here is my solution for labs in 6.034 which is artificial intelligence courese of MIT OCW (Don't copy :) 请勿抄袭，仅做技术交流参考)