Mxnet Python Packages

thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

sagemaker

A library for training and deploying machine learning models on Amazon SageMaker

sagemaker-core

A library for training and deploying machine learning models on Amazon SageMaker

gluonts

Probabilistic time series modeling in Python

sagemaker-train

A library for training and deploying machine learning models on Amazon SageMaker

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

insightface

State-of-the-art 2D and 3D Face Analysis Project

multi-model-server

Multi Model Server is a tool for serving neural net models for inference

model-archiver

Multi Model Server is a tool for serving neural net models for inference

pnnx

ncnn is a high-performance neural network inference framework optimized for the mobile platform

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

tensorly

TensorLy: Tensor Learning in Python.

gluoncv

Gluon CV Toolkit

nvidia-dali-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

mxnet-mkl

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

gluonnlp

NLP made easy

mosec

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

mxnet-model-server

Multi Model Server is a tool for serving neural net models for inference

openvino2tensorflow

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

rhea

Machine learning operator & controller for Kubernetes

nvidia-dali-nightly-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

nvidia-dali-nightly-cuda110

NVIDIA DALI nightly for CUDA 11.0. Git SHA: 2be08c56f2be9ec8055256256039eb534ab7a080