louiszango Goto Github PK
Name: Louis Zango
Type: User
Bio: I'm a Star in UFC.
Location: China
Name: Louis Zango
Type: User
Bio: I'm a Star in UFC.
Location: China
Huggingface Transformers + Adapters = ❤️
TensorFlow Implementation of Attentional Factorization Machine
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
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.
100+ Chinese Word Vectors 上百种预训练中文词向量
LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
Keras Implementation for "Deep & Cross Network for Ad Click Predictions"
A deep learning framework for symbolic optimization.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
A simple DeepFM.
DeepTables: Deep-learning Toolkit for Tabular data
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。
Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.
Implementation of Graph Auto-Encoders in TensorFlow
Keras implementations of Generative Adversarial Networks.
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
A wrapper layer for stacking layers horizontally
Attention mechanism for processing sequential data that considers the context for each timestamp.
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
兜哥出品 <一本开源的NLP入门书籍>
An implementation of the Neural Turing Machine as a keras recurrent layer.
PromptCLUE, 全中文任务支持零样本学习模型
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.