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Name: Mahwish
Type: User
Name: Mahwish
Type: User
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
AWS Glue code samples
Powering Amazon custom machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
All the material from the Udemy course "Beyond Jupyter Notebooks"
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A MNIST-like fashion product database. Benchmark :point_down:
Library for fast text representation and classification.
Based on a true story
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Distributed Asynchronous Hyperparameter Optimization in Python
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Jupyter metapackage for installation, docs and chat
Official Kaggle API
Deep Learning for humans
Metrics for Keras. DEPRECATED since Keras 2.3.0
Learn Amazon SageMaker
MLeap: Deploy ML Pipelines to Production
Multi Model Server is a tool for serving neural net models for inference
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
Docker container for running Chainer scripts to train and host Chainer models on SageMaker
WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkit for model serving.
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.