Top Repositories
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Text Summarization
Feature Hashing
Sampling from Gaussian Processes
Random utilities for NLP
This repository contains the source code, installation and use instructions for the method presented in the paper: Reducing congestion in job recommendation with optimal transport. We provide Python implementations of the complete ReCon model.
Repositories
401I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
This repository contains the source code, installation and use instructions for the method presented in the paper: Reducing congestion in job recommendation with optimal transport. We provide Python implementations of the complete ReCon model.
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
Random utilities for NLP
Topic Modelling for Humans
An open source library for building end-to-end dialog systems and training chatbots.
A BIO formatted Named Entity Recognition data set extracted from the OntoNotes 5.0 release.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Feature Hashing
Autograd automatically differentiates native Torch code
Stanford Natural Language Inference Model in Keras
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Python port of Moses tokenizer, truecaser and normalizer
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
A collection of transformer's guides, implementations and variants.
No description provided.
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
A Recurrent Latent Variable Model for Sequential Data
Character-Aware Neural Language Models. A keras-based implementation
Feature Projection for Improved Text Classification
Source code for variational neural machine translation
Data and notebook for experiments in Hovy et al. (2020) https://www.aclweb.org/anthology/2020.acl-main.154.pdf
Variational Neural Machine Translation System
Sampling from Gaussian Processes
experimental data for paper "A Set of Recommendations for Assessing Human–Machine Parity in Language Translation"
Text Summarization
Analyzing Uncertainty in Neural Machine Translation
A multilingual, multi-style and multi-granularity dataset for cross-language textual similarity detection
No description provided.