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ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

co-teaching

co-teaching-1

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

controllable-multi-objective-reranking

ctgan

Conditional GAN for Tabular Data

deeplearning

深度学习相关的模型训练、评估和预测相关代码

dialogue

dialogue-utterance-rewriter

dnc-4

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

edge-weighted-online-bipartite-matching

Edge-weighted online bipartite matching (JACM)

esim-response-selection

ESIM for Multi-turn Response Selection Task

fosr

Bayesian Function-on-Scalar Regression for High Dimensional Data

hybridncm

Code on A Hybrid Retrieval-Generation Neural Conversation Model (CIKM 2019)

imn

CIKM 2019: Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

json-tutorial

从零开始的 JSON 库教程

leafnats

A Learning Framework for Neural Abstractive Text Summarization

mrfn

Tensorflow implementation for MRFN in Retrieval-based Chatbots

multi_task_generalization_www2022_code

Code for the WebConf 2022 paper "Can Small Heads Help? Understanding and Improving Multi-Task Generalization": https://dl.acm.org/doi/10.1145/3485447.3512021

nats

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

neuralresponseranking

Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)

paddlerec

大规模推荐模型训练工具

prmlt

Pattern Recognition and Machine Learning Toolbox

ptranking

Learning to Rank in PyTorch

pycma

Python implementation of CMA-ES

python-bloomfilter

Scalable Bloom Filter implemented in Python

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

recsyspapers

Fork from https://github.com/tangxyw/RecSysPapers

seq2seq-pytorch

Sequence to Sequence Models with PyTorch