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TensorFlow multiclass classification losses and loss accessories.
:microscope: Nano size Theano LSTM module
Thang Luong's thesis on Neural Machine Translation
Module for statistical learning, with a particular emphasis on time-dependent modelling
Time series analysis and prediction
Implemented SVD, SVD++ and timeSVD++. Can be used on the netflix data to make predictions/recommendations.
This is an Android app developed for time management, user behavior analysis, and app recommendation.
Top_Down_Greedy_Anonymization is a Top-down greedy algorithm data anonymization algorithm for relational dataset, proposed by Jian Xu in his papers.
Repository containing implementations of several Topic Models (i.e LDA, HDP-LDA) from scratch.
A project with topic model implementations
t-SNE experiments in pytorch
The code for the experimental section in my EC'14 paper with Yuval Filmus: Efficient Voting via The Top-k Elicitation Scheme: A Probabilistic Approach
(Pytorch ver) Code for "Fully Neural Network based Model for General Temporal Point Process"
Implementation of "Detecting Anomalous Event Sequences with Temporal Point Processes" (NeurIPS 2021)
Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression
Resources and codes about transfer learning and domain adaptation--迁移学习
Code for Transformer Hawkes Process, ICML 2020.
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
os kernel labs for operating systems course in Tsinghua University.
This directory contains python implementation of standard well-known unsupervised link prediction methods such as Adamic/Adar, Common Neighbors, Jaccard Coefficient and Preferential Attachment
User anomaly detector based on logs generated by Osquery framework and machine learning to process those logs.
四川大学拓思爱诺用户session行为数据离线分析项目
A framework for prediction of human behavior
Variational Autoencoders for Marked Point Processes
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.