text2textText2Text: Cross-lingual natural language processing and generation toolkit
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Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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SensegramMaking sense embedding out of word embeddings using graph-based word sense induction
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ml经典机器学习算法的极简实现
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biovecProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.
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Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
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Pytorch classification利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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MagnitudeA fast, efficient universal vector embedding utility package.
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Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
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TextclfTextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
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receiptdIDReceipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.
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Dict2vecDict2vec is a framework to learn word embeddings using lexical dictionaries.
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Numpy MlMachine learning, in numpy
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Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
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Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
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Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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Cw2veccw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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Nlp JourneyDocuments, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
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Machine Learning⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
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MachinelearnjsMachine Learning library for the web and Node.
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Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
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Awesome Decision Tree PapersA collection of research papers on decision, classification and regression trees with implementations.
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word-embeddings-from-scratchCreating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.
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navecCompact high quality word embeddings for Russian language
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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Jsmlt🏭 JavaScript Machine Learning Toolkit
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NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
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scorubyRuby Scoring API for PMML
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handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
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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.
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Philo2vecAn implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)
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