AIStore: scalable storage for AI applications

oneAPI Deep Neural Network Library (oneDNN)

The Unified Machine Learning Framework

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Serve, optimize and scale PyTorch models in production

stable diffusion webui colab

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

Train neural networks up to 7x faster

Repository of ML projects

Determined: Deep Learning Training Platform

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Understanding the code of life: Generative modeling of regulatory DNA sequences with diffusion probabilistic models.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Various utilities created to help with the interpretation of DICOM images and DICOM RT Structures to NumPy masks and Simple-ITK handles/Nifti images. Some necessary steps for deep learning

An Open Source Machine Learning Framework for Everyone

A toolkit for making real world machine learning and data analysis applications in C++

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

A collaboration friendly studio for NeRFs

project group 129

Lightning Driven VisionTransformers

Web Application where people new to Deep Learning can input a dataset and toy around with basic Pytorch modules without writing any code

Mother machine image analysis through napari

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Leveraging AWS SageMaker and associated tools (e.g. Lambda, API-Gateway, S3, IAM, CloudWatch) with ML fundamentals to implement a deep learning model for pneumonia detection through X-ray images. Extensively tested using PostMan-API to confirm system's efficacy!

Discover, install, and share napari plugins

Project title: Using Deep Learning to predict overall survival times for breast cancer from H&E whole slide biopsy

Deep Learning for humans

A package for ontology engineering with deep learning.