Pinned Repositories
120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
31765_Optimization
31765 - Optimization in Modern Power Systems
4-Machine
Modified Kundur 4-machine power system model used to study sensor feedback limitations
academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
adaptation-imputation
adaptive-federated-learning
Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"
contextualbandits
Python implementations of contextual bandits algorithms
EstRDF-slides
Slides for defence of my master thesis
MPEC
Simulations codes for the paper titled "Strategic Bidding for Producers in Nodal Electricity Markets: A Convex Relaxation Approach"
pyomo
The main repository for the Pyomo optimization modeling software.
djmartingale's Repositories
djmartingale/approx_Graph_Frechet_Mean
djmartingale/autompc
Automatic Tuning for Data-driven Model Predictive Control
djmartingale/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
djmartingale/Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
djmartingale/carla
Open-source simulator for autonomous driving research.
djmartingale/causallib
A Python package for modular causal inference analysis and model evaluations
djmartingale/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
djmartingale/DL_Uncertainty_Quantification
A tensorflow implementation of established Bayesian and ensemble methods for uncertainty quantification of neural networks
djmartingale/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
djmartingale/epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
djmartingale/FATE
An Industrial Grade Federated Learning Framework
djmartingale/highcharts-angular
Highcharts official wrapper for Angular
djmartingale/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.
djmartingale/jindong.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
djmartingale/JuliaBox
djmartingale/Koopman
Data-driven modelling of complex systems via Deep Koopman Operators.
djmartingale/KubeFATE
Manage federated learning workload using cloud native technologies.
djmartingale/MAPDN
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
djmartingale/MARL_CAVs
Multi-agent Reinforcement Learning for Autonomous Vehicles
djmartingale/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.
djmartingale/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
djmartingale/Python
All Algorithms implemented in Python
djmartingale/REoptLite
djmartingale/research
djmartingale/Safe-Policy-Optimization
This is a benchmark repository for safe reinforcement learning algorithms
djmartingale/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
djmartingale/switch
A Modern Platform for Planning High-Renewable Power Systems
djmartingale/Time-series-problem
Time series analysis with techniques and plots
djmartingale/xfer
Transfer Learning library for Deep Neural Networks.
djmartingale/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