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ss_graph

Custom Semantic Similarity Graph based on Wordnet for document comparison

stochastic_pcbow

string_distance_metrics

A set of Python string distance metrics for string distance comparisons

string_grouper

Super Fast String Matching in Python

swe

SWE Toolkit. Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. A general framework to incorporate semantic knowledge into the popular data-driven learning process of word vectors. Applications including word similarity, sentence completion, etc. ACL-2015, Beijing, China

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-transx

An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

text2vec

Easily generate document/paragraph/sentence vectors and calculate similarity.

text2vec-1

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

text_classification

all kinds of text classification models and more with deep learning

text_clustering

Machine learning methods used to cluster sets of documents

text_similarity

Text Similarity

textacy

NLP, before and after spaCy

textrank

TextRank implementation for Python 3.

tf-world-tutorial

TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft

tinysmpc

A tiny, educational library for secure multi-party computation (in pure Python).

toolz

A functional standard library for Python.

trustscore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

tutorial

Contains codes for my published tutorials

tutorial-on-link-analysis

Hands-on tutorial about link analysis techniques

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

uncertainty-toolbox

Uncertainty Toolbox: a python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

uncertaintyinneuralnetworks_resources

using-doc2vec-to-classify-movie-reviews

vector_similarity

Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"

wang2vec

Extension of the original word2vec using different architectures

wmd

Word Mover's Distance from Matthew J Kusner's paper "From Word Embeddings to Document Distances"

wmd-relax

Calculates Word Mover's Distance Insanely Fast

word2mat

Code for ICLR 2019 paper 'CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model'