Pinned Repositories
CSIP
Reduced and simplified C interface to SCIP
EA-MQL4
MQL4编程实现外汇自动化交易
federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
flower
Flower - A Friendly Federated Learning Framework
LSTM-Autoencoders
Anomaly detection for streaming data using autoencoders
Mastering-Reinforcement-Learning-with-Python
Mastering Reinforcement Learning with Python, published by Packt
PyBaMM
Fast and flexible physics-based battery models in Python
Semi-Supervised-Transfer-Learning
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Guangcai925's Repositories
Guangcai925/CSIP
Reduced and simplified C interface to SCIP
Guangcai925/EA-MQL4
MQL4编程实现外汇自动化交易
Guangcai925/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Guangcai925/Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
Guangcai925/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Guangcai925/flower
Flower - A Friendly Federated Learning Framework
Guangcai925/LSTM-Autoencoders
Anomaly detection for streaming data using autoencoders
Guangcai925/Mastering-Reinforcement-Learning-with-Python
Mastering Reinforcement Learning with Python, published by Packt
Guangcai925/PyBaMM
Fast and flexible physics-based battery models in Python
Guangcai925/Semi-Supervised-Transfer-Learning
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Guangcai925/Simscape-Battery-Library
A Li-ion battery library written in Matlab Simscape language. Battery models include: TSPMe, TECMD and a few utility components
Guangcai925/tensorflow
An Open Source Machine Learning Framework for Everyone
Guangcai925/TGPRfSRDCF
Raw result files of our TPAMI paper "Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning"
Guangcai925/transfergpbo
This will be the companion code for the benchmarking study reported in the paper Transfer Learning with Gaussian Processes for Bayesian Optimization accepted for publication at AISTATS 2022