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DAL

Domain agnostic learning with disentangled representations

counterfactually-augmented-data

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

DeepLatentNLP

laftr

Learning Adversarially Fair and Transferable Representations

RateMDs

A quantitative and qualitative analysis of RateMDs.com dataset: scraped online physician reviews.

perspectiveapi

Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a conversation. See https://developers.perspectiveapi.com for more information.

disentangling-influence

Code to audit indirect influence in black box models.

Structured-Self-Attention

A Structured Self-attentive Sentence Embedding

adaptive-span

Transformer training code for sequential tasks

neural-editor

Repository for "Generating Sentences by Editing Prototypes"

python-ftfy

Fixes mojibake and other glitches in Unicode text, after the fact.

lm-context-analysis

Code for the ACL 2018 paper "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context"

vmf_vae_nlp

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

topic-rnn

Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.

topically-driven-language-model

Tensorflow code to train TDLM

multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

SDLM-pytorch

Code accompanying EMNLP 2018 paper Language Modeling with Sparse Product of Sememe Experts

aspect_adversarial

Aspect-augmented Adversarial Networks for Domain Adaptation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

para-nmt-50m

Pre-trained models and code and data to train and use models from "Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations"

iclr2016

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

MSVED-morph-reinflection

An implementation of semi-supervised VAE for morphology reinflection.

disentangle-semantics-syntax

Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)

structural-probes

Codebase for testing whether hidden states of neural networks encode discrete structures.

transformer-xl

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)