TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An Open Source Machine Learning Framework for Everyone
A retargetable MLIR-based machine learning compiler and runtime toolkit.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A comprehensive collection of pre-written code for machine learning and deep learning use cases, all in one convenient place. Whether you're a seasoned practitioner or just starting your ML journey, this repository provides a solid foundation to build upon.
Udemy - TensorFlow Developer Certificate Bootcamp
A library for training and deploying machine learning models on Amazon SageMaker
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
RFE BSU organization of data processing labs
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Experiment with machine learning and AI algorithms, write guides, and documents.
Porting vision models to Keras 3 for easily accessibility. Contains MobileViT v1.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
This project aims to detect pneumonia from chest X-ray images using a Convolutional Neural Network (CNN). The model is trained on a dataset of chest X-ray images and evaluated for its performance. The project is ongoing, and I aim to fine-tune the model in the future. If you are seeing this, it means I am still working on the project.
Sample code and notes for my GCP courses on LinkedIn Learning
Experiment tracking server focused on speed and scalability
The code for the work presented in the research paper titled "Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning"
AI-Powered Photos App for the Decentralized Web 🌈💎✨
Created by Google Brain Team
Released November 9, 2015