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bert-classification-tutorial

bert-e2e-absa

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP 2019)

bert-multi-gpu

Feel free to fine tune large BERT models with Multi-GPU and FP16 support.

bert-ner

Pytorch-Named-Entity-Recognition-with-BERT

bert_cn

Chinese sentiment classification based on bert.

caffe

Support LRCN(both rgb and optical-flow). This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

captum

Model interpretability and understanding for PyTorch

ccf-bdci-sentiment-analysis-baseline

The code for CCF-BDCI-Sentiment-Analysis-Baseline

code_for_kaggle_elo

Code for Kaggle Elo Merchant Category Recommendation.

contextualizing-hate-speech-models-with-explanations

Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"

dataloaders_dali

PyTorch DataLoaders implemented with DALI for accelerating image preprocessing

debiased

deep_metric

Deep Metric Learning Accepted by CVPR-2019

early-stopping-pytorch

Early stopping for PyTorch

fast-influence-functions

fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gqa_eval_script

Fixing errors in the evaluation code of GQA dataset

gqa_single_hop_baseline

A simple but well-performing "single-hop" visual attention model for the GQA dataset

hans

Heuristic Analysis for NLI Systems

hierarchical-explanation

Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.

influence-function-analysis

joycontrol

Emulate Nintendo Switch Controllers over Bluetooth

lamb_optimizer_tf

LAMB Optimizer (TensorFlow version)

lcgn

Code release for Hu et al., Language-Conditioned Graph Networks for Relational Reasoning. in ICCV, 2019

mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

match-lstm

Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

path_explain

A repository for explaining feature attributions and feature interactions in deep neural networks.

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.