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deep_learning_reading_group

deeplearningtutorial

Code examples for learning deep learning.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deepmachinelearning

deq

Deep Equilibrium Models

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

dig

A library for graph deep learning research

distributed-network-consensus

MATLAB implementation of "Average TimeSync Protocol", an algorithm for clock synchronization via distributed linear iterations from IEEE publication "A Distributed Consensus Protocol for Clock Synchronization in Wireless Sensor Networks" by Luca Schenato and Giovanni Gamba

distributedoptimizationwithlocaldomains

Code to replicate experiments in paper

dl-4-tsc

Deep Learning for Time Series Classification

dmd_sowfa

Dynamic Mode Decomposition using Simulator fOr Wind Farm Applications (SOWFA)

dmm

Deep Markov Models

dnn4gnetworking

documentation

ARPA-E PERFORM Forecasts Documentation

dss-lab.github.io

DSS Lab Website

dynamic-state-estimation-toolbox-dset-

ebookmlcb

ebook Machine Learning cơ bản

effectivepytorch

PyTorch tutorials and best practices.

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

encoding_temporal_markov_dynamics_in_graph_for_visualizing_and_mining_time_series

facedetection-using-opencv

fault-detection-using-deep-learning-classification

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.

fkb

A two-way deep learning bridge between Keras and Fortran

freepmu

The FreePMU project delivers an open source Phasor Measurement Unit (PMU) for power system analysis based on the STM32F769 Discovery kit and an instrumentation PCB. Its characteristics are low cost, open architecture and open source code. FreePMU measures fundamental and harmonic synchrophasors as well as the signal frequency for a three-phase distribution circuit.

friendly-fortnight

:wolf: K-Means Clustering using Python from Scratch :mushroom:

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gcn-playground

gdc

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

gen-efficientnet-pytorch

Generic Efficent Networks - EfficientNet, MobileNetV3 V2 and V1, MNASNet A1 and B1, FBNet, ChamNet, Single-Path NAS by string definitions