youngbigbird1985 Goto Github PK

-a-min-max-optimization-framework-for-online-graph-classification

aaai20

Theoretical Proof for AAAI-20 paper "Distributed Primal-Dual Optimization for Online Multi-Task Learning"

agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

autoencoders_cf

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

awesome-incremental-learning

Awesome Incremental Learning

awesome-multi-task-learning

2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

awesome-pruning

A curated list of neural network pruning resources.

benanne.github.io

bilevel-continual-learning

calibrating-cnns-for-lifelong-learning

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

class-incremental-learning

PyTorch implementation for AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

contextual-transformation-network

convolutional-net-prototype-ensemble

implement of ICDE 2019 paper: Robust High Dimensional Stream Classification with Novel Class Detection

crater

Free & Open Source Invoice App for Freelancers & Small Businesses

ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

darts

Differentiable architecture search for convolutional and recurrent networks

deepctr

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

deepergnn

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

deepinterestnetwork

dgn

Pytorch implementation of differentiable group normalization (NeurIPS 2020)

discrete-collaborative-filtering

discriminativeactivelearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

dkn

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

dropedge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

ebm-continual-learning

Energy-Based Models for Continual Learning Official Repository (PyTorch)