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Name: YoungBigBird
Type: User
Name: YoungBigBird
Type: User
Theoretical Proof for AAAI-20 paper "Distributed Primal-Dual Optimization for Online Multi-Task Learning"
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
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
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
A curated list of neural network pruning resources.
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
PyTorch implementation for AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)
An adversarial example library for constructing attacks, building defenses, and benchmarking both
implement of ICDE 2019 paper: Robust High Dimensional Stream Classification with Novel Class Detection
Free & Open Source Invoice App for Freelancers & Small Businesses
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.
Differentiable architecture search for convolutional and recurrent networks
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Pytorch implementation of differentiable group normalization (NeurIPS 2020)
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Energy-Based Models for Continual Learning Official Repository (PyTorch)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.