djmartingale's repositories

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autompc

Automatic Tuning for Data-driven Model Predictive Control

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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Awesome-Federated-Learning

Federated Learning Library: https://fedml.ai

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carla

Open-source simulator for autonomous driving research.

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causallib

A Python package for modular causal inference analysis and model evaluations

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DataScienceStudyNotes

这个仓库保管从(数据科学学习手札69)开始的所有代码、数据等相关附件内容

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DL_Uncertainty_Quantification

A tensorflow implementation of established Bayesian and ensemble methods for uncertainty quantification of neural networks

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EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

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epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

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FATE

An Industrial Grade Federated Learning Framework

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highcharts-angular

Highcharts official wrapper for Angular

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ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

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jindong.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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Koopman

Data-driven modelling of complex systems via Deep Koopman Operators.

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KubeFATE

Manage federated learning workload using cloud native technologies.

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MAPDN

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

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MARL_CAVs

Multi-agent Reinforcement Learning for Autonomous Vehicles

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MP-MAB

This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation inIoT Networks over Unlicensed Bandwidth as aContextual Multi-player Multi-armed Bandit Game", to appear in IEEE Transactions on Wireless Communications, 2021.

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Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

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Python

All Algorithms implemented in Python

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Safe-Policy-Optimization

This is a benchmark repository for safe reinforcement learning algorithms

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sg-collision-prediction

This repository includes the source code and dataset information needed to reproduce the results from our paper. For more information about our lab please visit https://aicps.eng.uci.edu

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switch

A Modern Platform for Planning High-Renewable Power Systems

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Time-series-problem

Time series analysis with techniques and plots

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xfer

Transfer Learning library for Deep Neural Networks.

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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