jianzhu

ActiveWeaSuL

ANCE

A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

AutoAttention

Tensorflow implementaion for AutoAttention

autofaiss

Automatically create Faiss knn indices with the most optimal similarity search parameters.

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Co-Action-Network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

COSINE

This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).

DropoutNet

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

eeuen

code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"

FastBERT

The score code of FastBERT (ACL2020)

FCPO

code for ‘Towards Long-term Fairness in Recommendation’

GraphiT

Official Pytorch Implementation of GraphiT

Graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

HCL

ICLR 2021, Contrastive Learning with Hard Negative Samples

LM-BFF

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

LOTClass

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

meta-pseudo-labels

Unofficial TF2 implementation of "Meta Pseudo Labels" with linked metrics, dataset and models

MetaHIN

Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

MixGCF

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

models

MPL-pytorch

Unofficial PyTorch implementation of "Meta Pseudo Labels"

neural_testbed

PDA

This is an implemention for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorflow..

poeem

A library for end-to-end learning of embedding index and retrieval model

PoNet

Code for paper "PoNet: Pooling Network for Efficient Token Mixing in Long Sequences".

quince

Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding

SeqMix

The repository for our EMNLP'20 paper SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup.

SGL

TLM

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework

wiki_zh_word2vec

利用Python构建Wiki中文语料词向量模型试验