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awesome-trajectory-prediction

decentralisedrandomfourierfeatures

Pytorch implementation of Decentralised Random Fourier Feature Regression using Distributed Gradient Descent

deeplearning

distributedlearning

Multiple Kernel online learning, Random Fourier Feature, Distributed learning, Decentralized Framework

k8s-for-docker-desktop

为Docker Desktop for Mac/Windows开启Kubernetes和Istio。M1芯片Mac用户请切换v1.19.7分支

kubefate

Manage federated learning workload using cloud native technologies.

mklpy

A package for Multiple Kernel Learning in Python

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

optuna

A hyperparameter optimization framework

random-feature-maps

Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC Dataset

random-fourier-features

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

random-fourier-features-pytorch

Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.

rmt_theory_applications

some important properties on random matrix theory and its applications in multiple areas

snow

tcn

Sequence modeling benchmarks and temporal convolutional networks

trackingx

An Object Oriented MATLAB toolkit for (Multi) Target Tracking.