A terraform module for deploying Weights & Biases on AWS.

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

Ethereum development and test single and multi-node clusters using Docker 🐳

Natural language processing & computer vision models optimized for AWS

Notebooks using the Hugging Face libraries 🤗

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

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

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

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Continuous Integration and other infrastructure code that serves Apache MXNet incubating. This repository is not intended for end-users.

ethereum utilities, dev tools, scripts, etc

Gluon CV Toolkit

Seamless operability between C++11 and Python

NLP made easy

This support code is used for making the TensorFlow framework run on Amazon SageMaker.

Deep Learning Examples

Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

An interactive book on deep learning. Much easy, so MXNet. Wow.

Temporary repository for MXNet infrastructure code

A curated list of MXNet examples, tutorials and blogs.

😎 Libraries that are being shown in Sourcerer profiles.

Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

Dive into Deep Learning