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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

machine-learning-from-scratch

常用机器学习的算法简洁实现

machinelearning

一些关于机器学习的学习资料与研究介绍

maxent_ner

中文信息处理Lab2_最大熵命名实体识别

mtcnn-pytorch

A face detection algorithm

mxnet_mtcnn_face_detection

MTCNN face detection

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

pytorch-ddpg-naf

Implementation of algorithms for continuous control (DDPG and NAF).

pytorch-distributed

Ape-X DQN & DDPG with pytorch & tensorboard

pytorch-fm

Factorization Machine models in PyTorch

pytorch-nmt

PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the parameter estimation process.

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

reinforcement-learning

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

reinforcement-learning-1

Modular implementations of reinforcement learning algorithms with PyTorch

reinforcement-learning-algorithms

This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

sdeepfwfm

Accelerating Inference for Recommendation Systems

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning

show_attend_and_tell_pytorch

Pytorch implement Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

simple_crf

simple Conditional Random Field implementation in Python

startbootstrap-clean-blog-jekyll

A Jekyll version of the Clean Blog theme by Start Bootstrap

tf-drl-rpn-video

Object detection on video using deep reinforcement learning

train-lstm-for-video-classification

cnn extract video feature, and put them to lstm to train.

video-caption.pytorch

pytorch implementation of video captioning

visual-attention-pytorch

Fine grained image categorization using visual hard attention

word2vecpy

Python implementation of CBOW and skip-gram word vector models, and hierarchical softmax and negative sampling learning algorithms

xinlp

把李航老师《统计学习方法》的后几章的算法都实现了一遍，实现盒子与球的EM算法，扩展到去GMM训练，后来实现了HMM分词（实现了HMM分词的参数训练）和CRF分词（借用CRF++训练的参数模型），最后利用tensorFlow把BiLSTM+CRF实现了，然后为lucene包装了一个XinAnalyzer