Implementation of Simple Contrastive Learning-based Unsupervised approach to generate sentence embeddings and to perform text similarity in Tensorflow
MIT License
General Assembly's 2015 Data Science course in Washington, DC
Automatic detection of robust parametrizations for LDA and NMF. Compatible with scikit-learn and ...
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computat...
An experiment about re-implementing supervised learning models based on shallow neural network ap...
Comparison-based Machine Learning in Python
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (Neur...
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Library of recommender functions build on top of sklearns estimators
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Text vectorization tool to outperform TFIDF for classification tasks
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques ...
Natural Intelligence is still a pretty good idea.