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smith6036's Projects

hippocamplus icon hippocamplus

A place to gather useful information I keep on forgetting.

hmtl icon hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

infer icon infer

Infer.NET is a framework for running Bayesian inference in graphical models

julia icon julia

The Julia Programming Language

k-bert icon k-bert

Source code of K-BERT (AAAI2020)

keras-mmoe icon keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

labelpropagation icon labelpropagation

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

librec icon librec

LibRec: A Leading Java Library for Recommender Systems, see

line icon line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

malsar icon malsar

Multi-task learning via Structural Regularization

metaworld icon metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

minikube icon minikube

普大喜奔,官方Minikube提供了完整对国内用户支持,建议参考 https://yq.aliyun.com/articles/221687 或 https://github.com/AliyunContainerService/minikube/wiki 最新支持v1.12.3

mlj.jl icon mlj.jl

A Julia machine learning framework

mlxtend icon mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mmnet icon mmnet

Multi-Task Driven Feature Models for Thermal Infrared Tracking (AAAI2020)

msds593 icon msds593

MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco

mt-dnn icon mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

nli icon nli

Enhanced LTSM for natural language inference

numpy icon numpy

The fundamental package for scientific computing with Python.

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