ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
mosec
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
https://github.com/awslabs/gluonts
Probabilistic time series modeling in Python
mxnet.sharp
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
thinc
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
https://github.com/awslabs/multi-model-server
Multi Model Server is a tool for serving neural net models for inference
https://github.com/awslabs/keras-apache-mxnet
[DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support
https://github.com/bytedance/byteps
A high performance and generic framework for distributed DNN training
https://github.com/ivy-llc/demo-utils
A set of utilities for creating visual demos for Ivy libraries.
https://github.com/awslabs/dynamic-training-with-apache-mxnet-on-aws
Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.
https://github.com/awslabs/mlm-scoring
Python library & examples for Masked Language Model Scoring (ACL 2020)