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Type: User
Bio: Science, Technology & Innovation Lead with broad and practical knowledge in the area of HPC, Distributed Deep Learning Systems, NextGen AI
Twitter: aideepdive
Location: Hamburg, DE
Type: User
Bio: Science, Technology & Innovation Lead with broad and practical knowledge in the area of HPC, Distributed Deep Learning Systems, NextGen AI
Twitter: aideepdive
Location: Hamburg, DE
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.
Export GPT2 full inference loop to the single ONNX graph.
This is material for a tutorial that @sophwats and @willb developed about machine learning workflows and about running them on OpenShift
Odin: Pose estimation-based tracking and counting of people in videos
Performance Benchmarks
Scrape flickr for images and train a convolutional neural network in Keras to scale up photos with minimal loss of detail.
Human Pose estimation with TensorFlow framework
This repo contains ancillary information used to assist users of the PowerAI Frameworks. This repo will contain How To's, Readme's, Dockerfiles, etc. that can be consumed by users looking to get started using our various PowerAI features.
Run a Jupyter Notebook to detect, track, and count cars in a video using PowerAI Vision and OpenCV
Use TensorFlow and convolutional neural networks with PowerAI to classify radio signals from outer space
Image recognition training with TensorFlow Inception and transfer learning
Use deep learning to create a model and a REST endpoint to allow your app to detect, locate and count your product on store shelves
Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Lab for Jagiellonian University course
Python Data Science Handbook: full text in Jupyter Notebooks
Source Code for 'PyTorch Recipes' by Pradeepta Mishra
Simple PyTorch Tutorials Zero to ALL!
Credit Risk Identification with Quantum Support Vector Machine (qSVM-Qiskit)
Prototype an integration of ray with Open Data Hub, using a singleuser profile to provision a ray cluster
qiskit-docker
Fast and accurate object detection with end-to-end GPU optimization
Detect model's attention
JupyterHub enabled image deploying JupyterLab with Elyra (https://github.com/elyra-ai/elyra)
Sample notebooks that are published by IBM for IBM Data Science Experience.
Companion to the book: SAS® Viya™: The Python Perspective by Kevin D. Smith and Xiangxiang Meng.
Resources for deep learning with satellite & aerial imagery
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.