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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.

fedpca_abnormal_detection

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

ggnn_fault_loc

ginn

Graph Imputation Neural Network

gnn-citations

Node Classification with Graph Neural Networks

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-convolution-on-structured-documents

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

graph-machine-learning

Graph Machine Learning, published by Packt

graph-neural-networks

graph-neural-networks-roadmap

graph_nets

Build Graph Nets in Tensorflow

graphneuralsolver

grid2op

grid2viz

This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Artelys for the different challengers of the L2RPN RL Challenge.

gym-anm

Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

gym-cryptotrading

OpenAI Gym Environment API based Bitcoin trading environment

hackathon

Submission for AIHack2022 where we optimised battery charging for renewables using reinforcement learning.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.