Reverse Dependencies of mxnet

The following projects have a declared dependency on mxnet:

• adcl — Data preprocessing and cleaning tools for data science projects
• adversarial-robustness-toolbox — Toolbox for adversarial machine learning.
• alpha-automl — Alpha-AutoML: NYU's AutoML System
• atlinter — Interpolate missing section images in gene expression volumes
• autonml — AutonML : CMU's AutoML System
• bert-embedding — BERT token level embedding with MxNet
• data-modori — LMOps Tool for Korean
• datawig — Imputation for tables with missing values
• elit — ELIT: Evolution of Language and Information Technology
• Face-Package — Test Face model
• fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• fedml-afaf — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• forecastga — A Python tool to forecast GA data using several popular timeseries models
• gluonts — Probabilistic time series modeling in Python.
• gxdltk — DeepLearning Toolkit for pytorch
• h3mlcore — no summary
• htsmodels — Forecasting algorithms for hierarchical time series
• kf-d3m-primitives — All Kung Fu D3M primitives as a single library
• lightwood — Lightwood is Legos for Machine Learning.
• model-archiver — Model Archiver is used for creating archives of trained neural net models that can be consumed by MXNet-Model-Server inference
• model-performance-investigator — Package give idea of a models performance based on given data
• monk-cpu — Monk Classification - CPU - backends - pytorch, keras, gluon
• monk-cpu-test — Monk Classification - CPU - backends - pytorch, keras, gluon
• monk-gluon-cpu — Monk Classification - CPU - backends - mxnet-gluon
• monk-gluon-cpu-test — Monk Classification - CPU - backends - mxnet-gluon
• multi-model-server — Multi Model Server is a tool for serving neural net models for inference
• mxnet-coreml-converter — Tool to convert MXNet models into Apple CoreML model format.
• mxnet-donkeycar — An Mxnet Implementation of DonkeyCar, adjusted from the original repo: https://github.com/wroscoe/donkey
• mxnet-model-server — Model Server for Apache MXNet is a tool for serving neural net models for inference
• mxnet-model-server-prometheus — Model Server for Apache MXNet is a tool for serving neural net models for inference. With Prometheus metrics.
• mxnet-to-coreml — Tool to convert MXNet models into Apple CoreML model format.
• mxop — A tool to count OPs and paramters of MXNet model.
• nsface-python — Test Face model
• onnx-mxnet — ONNX-MXNet Model converter
• openml-mxnet — MXNet extension for Openml python API
• openvino-dev — OpenVINO(TM) Development Tools
• optuna-integration — Integration libraries of Optuna.
• py-data-modori — LMOps Tool for Korean
• PyBaize — no summary
• redbrick-sagemaker — RedBrick AI and AWS Sagemaker integration
• SDDect — lightweight video detection
• spaco — Smooth and probablistic PARAFAC decomposition with covariates
• test-data-modori — LMOps Tool for Korean
• thinc — A refreshing functional take on deep learning, compatible with your favorite libraries
• TKT — This project aims to provide multiple knowledge tracing models.
• XKT — This project aims to provide multiple knowledge tracing models.