Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Stars: ✭ 1,123 (+71.19%)
Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Stars: ✭ 790 (+20.43%)
GensimTopic Modelling for Humans
Stars: ✭ 12,763 (+1845.58%)
Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
Stars: ✭ 220 (-66.46%)
Text2vecFast vectorization, topic modeling, distances and GloVe word embeddings in R.
Stars: ✭ 715 (+8.99%)
Deepnlp Models PytorchPytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Stars: ✭ 2,760 (+320.73%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-85.37%)
ScattertextBeautiful visualizations of how language differs among document types.
Stars: ✭ 1,722 (+162.5%)
Scattertext PydataNotebooks for the Seattle PyData 2017 talk on Scattertext
Stars: ✭ 132 (-79.88%)
altairAssessing Source Code Semantic Similarity with Unsupervised Learning
Stars: ✭ 42 (-93.6%)
Ja.text8Japanese text8 corpus for word embedding.
Stars: ✭ 79 (-87.96%)
DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Stars: ✭ 83 (-87.35%)
Skip Thoughts.torchPorting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
Stars: ✭ 146 (-77.74%)
MagnitudeA fast, efficient universal vector embedding utility package.
Stars: ✭ 1,394 (+112.5%)
Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Stars: ✭ 103 (-84.3%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (-71.19%)
PujanggaPujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec
Stars: ✭ 47 (-92.84%)
Kor2vecLibrary for Korean morpheme and word vector representation
Stars: ✭ 64 (-90.24%)
Sense2vec🦆 Contextually-keyed word vectors
Stars: ✭ 1,184 (+80.49%)
Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
Stars: ✭ 1,486 (+126.52%)
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+110.06%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+389.18%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (-69.21%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (-73.63%)
LanguagecrunchLanguageCrunch NLP server docker image
Stars: ✭ 281 (-57.16%)
Natural Language ProcessingProgramming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
Stars: ✭ 377 (-42.53%)
SentencepieceUnsupervised text tokenizer for Neural Network-based text generation.
Stars: ✭ 5,540 (+744.51%)
StanzaOfficial Stanford NLP Python Library for Many Human Languages
Stars: ✭ 5,887 (+797.41%)
Me botBuild a bot that speaks like you!
Stars: ✭ 641 (-2.29%)
Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Stars: ✭ 605 (-7.77%)
Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (-17.23%)
Awesome Korean NlpA curated list of resources for NLP (Natural Language Processing) for Korean
Stars: ✭ 541 (-17.53%)
HazmPython library for digesting Persian text.
Stars: ✭ 595 (-9.3%)
Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+933.99%)
QuantedaAn R package for the Quantitative Analysis of Textual Data
Stars: ✭ 647 (-1.37%)
Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Stars: ✭ 641 (-2.29%)
TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Stars: ✭ 589 (-10.21%)
LeakganThe codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
Stars: ✭ 533 (-18.75%)
Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
Stars: ✭ 532 (-18.9%)
TalismanStraightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
Stars: ✭ 584 (-10.98%)
FewrelA Large-Scale Few-Shot Relation Extraction Dataset
Stars: ✭ 526 (-19.82%)
Chat基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话
Stars: ✭ 516 (-21.34%)
Deep Learning GuideAn evolving guide to learning Deep Learning effectively.
Stars: ✭ 642 (-2.13%)
PythainlpThai Natural Language Processing in Python.
Stars: ✭ 582 (-11.28%)
HeadlinesAutomatically generate headlines to short articles
Stars: ✭ 516 (-21.34%)
FlashtextExtract Keywords from sentence or Replace keywords in sentences.
Stars: ✭ 5,012 (+664.02%)
LanguagetoolStyle and Grammar Checker for 25+ Languages
Stars: ✭ 5,641 (+759.91%)
Nlp NotebooksA collection of notebooks for Natural Language Processing from NLP Town
Stars: ✭ 513 (-21.8%)
Wtte RnnWTTE-RNN a framework for churn and time to event prediction
Stars: ✭ 654 (-0.3%)
Conv EmotionThis repo contains implementation of different architectures for emotion recognition in conversations.
Stars: ✭ 646 (-1.52%)
Speech Emotion AnalyzerThe neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Stars: ✭ 633 (-3.51%)
Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Stars: ✭ 570 (-13.11%)