rain-for

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ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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approachingalmost

Approaching (Almost) Any Machine Learning Problem

autograd

Efficiently computes derivatives of NumPy code.

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mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

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Java-Interview

「Java面试小抄」一份通向理想互联网公司的面试汇总,包括 Java基础、Java并发、JVM、MySQL、Redis、Spring、MyBatis、Kafka、计算机操作系统、计算机网络、系统设计、分布式、Java 项目实战等

Awesome-Federated-Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

PFLlib

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

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Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

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scikit-survival

Survival analysis built on top of scikit-learn

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multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

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pycox

Survival analysis with PyTorch

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ml-mastery-zh

:book: [译] MachineLearningMastery 博客文章

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DeepSurv

DeepSurv is a deep learning approach to survival analysis.

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easyFL

An experimental platform for federated learning.

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Basic-Multi-task-Learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

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TFDeepSurv

COX Proportional risk model and survival analysis implemented by tensorflow.

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nnet-survival

Discrete-Time Survival Model for Neural Networks

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lasso

Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.

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DeepSurv_Keras

DeepSurv code for keras

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multimodal-recurrence

Code accompanying the paper "Multimodal fusion of imaging and genomics for lung cancer recurrence prediction" - Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood (ISBI 2020)

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FedBCD

The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features"

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Cox-nnet-v2.0

Updated version 2 of Cox-nnet

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VERTICOX

VERTICOX source code

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Research-on-federated-deep-neural-network-model-for-data-privacy-protection

Research on federated deep neural network model for data privacy protection

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