Pinned Repositories
AlphaGo
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
annualreview-complearning
Demonstration code for the paper 'Bringing machine learning and compositional semantics together' (Percy Liang and Christopher Potts)
ApproachPython
Read Python codes and understand them.www.itdiffer.com
bimu
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
JavaCNN
A Java implement of Convolutional Neural Network.
JST
A C++ implementation of the Joint Sentiment-Topic (JST) Model.
kdd_2014
Code for KDD 2014
le02146's Repositories
le02146/AlphaGo
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
le02146/bimu
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
le02146/charagram
Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
le02146/cs344
Introduction to Parallel Programming class code
le02146/Deep-Learning-101
Deep Learning Tutorials
le02146/Deep-Learning-for-NLP-Resources
List of resources to get started with Deep Learning for NLP.
le02146/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
le02146/DeepMind-Teaching-Machines-to-Read-and-Comprehend
Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind
le02146/hello-world
another
le02146/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
le02146/MachineLearning
This project contain some machine learning algrithm demo.Maybe the code is also useful to you.
le02146/multiwsi
multi-lingual word sense induction
le02146/nlc
Neural Language Correction implemented on Tensorflow
le02146/NNContextSentiment
le02146/NP-MSSG
the code from research paper "Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space" by Arvind Neelakantan* , Jeevan Shankar* , Alexandre Passos, Andrew McCallum
le02146/papers
Collection of papers
le02146/PCI
Policy Change Index (PCI)
le02146/qa_network
Implementation of QA Networks
le02146/Recipes
Lasagne recipes: examples, IPython notebooks, ...
le02146/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
le02146/Semantic-CNN
Initializing Convolutional Filters with Semantic Features for Text Classification
le02146/seq2seq
Sequence to Sequence Learning with Keras
le02146/stat212b
Topics Course on Deep Learning UC Berkeley
le02146/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
le02146/test-first
le02146/tweepy
Twitter for Python!
le02146/tweet2vec
Twitter hashtag prediction
le02146/vocab-coverage
语言模型中文认知能力分析
le02146/wevi
Word Embedding Visual Inspector
le02146/WordEmbeddingAutoencoder
An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015