LouisZango

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

PromptCLUE

PromptCLUE, 全中文任务支持零样本学习模型

SimCSE-Chinese-Pytorch

SimCSE在中文上的复现，有监督+无监督

uie_pytorch

PaddleNLP UIE模型的PyTorch版实现

adapter-transformers

Huggingface Transformers + Adapters = ❤️

Bert-Multi-Label-Text-Classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

CATENets

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

causalML

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

cfrnet-reproduction

Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.

Deep-and-Cross-Keras

Keras Implementation for "Deep & Cross Network for Ad Click Predictions"

deep-symbolic-optimization

A deep learning framework for symbolic optimization.

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

DeepTables

DeepTables: Deep-learning Toolkit for Tabular data

EDA_NLP_for_Chinese

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

ExplicitHighOrderInteraction-Keras

Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.

Keras-GAN

Keras implementations of Generative Adversarial Networks.

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

keras-multi-head

A wrapper layer for stacking layers horizontally

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

multi-task-learning

TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

pytorch_ema

Tiny PyTorch library for maintaining a moving average of a collection of parameters.

R-Drop

RDrop 的 torch版

R-Drop-1

recall_two_towers

RecDebiasing

This repository collects debiasing methods for recommendation

rrl

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

SimCSE

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

SupCon-Framework

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

UniSRec

[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".