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MIT
- San Francisco, CA
- https://www.linkedin.com/in/shaynetobrien/
Stars
A library for efficient similarity search and clustering of dense vectors.
Automated script for Whole Foods and Amazon Fresh delivery slot
Hidden Markov Models in Python, with scikit-learn like API
An Open Source Machine Learning Framework for Everyone
Turi Create simplifies the development of custom machine learning models.
Fast implementation of the edit distance(Levenshtein distance)
A full Python Implementation of the ROUGE Metric (not a wrapper)
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Bayesian optimization in PyTorch
Ongoing research training transformer models at scale
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
This repo includes extensions to the Stanford Dialogue Corpus. It contains crowd-sourced rewrites to facilitate research in dialogue state tracking using natural language as the interface.
Large datasets for conversational AI
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
pyschedule - resource scheduling in python
Constraint Solving Problem resolver for Python
Exact approach to solve the facility location problem with Gurobi.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Facebook AI Research Sequence-to-Sequence Toolkit
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.