sunshinezhihuo Goto Github PK

followers: 22.0 following: 111.0 repos: 390.0 gists: 1.0

Name: 奔跑的艺方

Type: User

Bio: 卓越未来科技创始人用认真的心和人工智能的手段改变世界

Location: HangZhou in China

Blog: https://blog.csdn.net/sunshinezhihuo

奔跑的艺方's Projects

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

nn-transfer

Convert trained PyTorch models to Keras, and the other way around

noscope

Accelerating network inference over video

object_detection_with_tensorflow

object detection app based on tensorflow api

od_fromvideo

Object Detection from Video by using Faster R-CNN and Fully-Convolutional Siamese

opennre

An Open-Source Package for Neural Relation Extraction (NRE)

panet

PANet for Instance Segmentation and Object Detection

paraphrase-id-tensorflow

Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.

pdf-diff-service

Exposing https://github.com/JoshData/pdf-diff/ as FastAPI service.

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

phasedlstm-keras

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

My Solutions to Leetcode problems. All solutions support C++ language, some support Java and Python. Multiple solutions will be given by most problems. Enjoy:) 我的Leetcode解答。所有的问题都支持C++语言，一部分问题支持Java语言。近乎所有问题都会提供多个算法解决。大家加油！：）

play-with-algorithm-interview

Codes of my MOOC Course <Play with Algorithm Interviews>. Updated contents and practices are also included. 我在慕课网上的课程《玩儿转算法面试》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

play-with-algorithms

Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。