Literature for the self-taught AI practitioner! 📚

GNMT Implementation for Pytorch, used in Assignment 5 in Systems Engineering for DL

EfficientNetV2 implementation using PyTorch

EfficientNetV2 pytorch (pytorch lightning) implementation with pretrained model

Wide Residual Networks (WideResNets) in PyTorch

3.8% and 18.3% on CIFAR-10 and CIFAR-100

Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

Support for Parallel Drone­-based Task Execution at Multiple Edge Points

testing adhocSL

Language-Natural Persistence Layer for Java

FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks

Workflow Engine for Kubernetes

A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)

Investigating Split Learning and Federate Learning

Privacy attacks on Split Learning

ColorBrewer color schemes for gnuplot

A curated list of resources for model inversion attack (MIA).

A library for federated learning (a distributed machine learning process) in an enterprise environment.

Combinatorial Optimization in Gurobi

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

A collection of various deep learning architectures, models, and tips