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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP 2019)
code for our ICPR 2020 paper: "Adversarial Training for Aspect-Based Sentiment Analysis with BERT"
Config files for my GitHub profile.
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM,xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... (pytorch, tf2.0)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
阿里DIEN与DIN Tensorflow2.0 复现
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Keras documentation, hosted live at keras.io
Python & JAVA Solutions for Leetcode
Jupyter notebooks for the Natural Language Processing with Transformers book
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Graph Neural Network Library for PyTorch
一个关于pytorch的入门教程,该教程写于2018年,之后pytorch版本经过更新,部分代码需要更改,使用者请自行改之。
Pytorch Geometric Tutorials
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tutorial for using twarc, with steps for installing software.
Sample code for the Twitter API v2 endpoints
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.