Make huge neural nets fit in memory

Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

ML model training for edge devices

Training neural networks in TensorFlow 2.0 with 5x less memory

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Framework that supports pipeline federated split learning with multiple hops.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Software-Defined Networking tools for LXC (LinuX Containers)

95.47% on CIFAR10 with PyTorch

C++ Implementation of PyTorch Tutorials for Everyone

Argument Parser for Modern C++

Experimental deep learning framework written in Rust

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Bootstrap Kubernetes the hard way. No scripts.