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The Jetson Emulator emulates the NVIDIA Jetson AI-Computer's Inference and Utilities API for image classification, object detection and image segmentation (i.e. imageNet, detectNet and segNet). The intended users are makers, learners, developers and students who are curious about AI computers and AI edge-computing but are not ready or able to invest in an actual device such as the NVIDIA Jetson Nano Developer Kit (https://developer.nvidia.com/embedded/jetson-nano-developer-kit). E.g. this allows every student in a computer class to have their own personal AI computer to explore and experiment with. This Jetson Emulator presents a pre-configured, ready-to-run kit with 2 virtual HDMI displays and 4 virtual live-cameras. This enables usage familiarisation with the Jetson API and experimentation with AI computer vision inference. It is a great way to quickly and easily get 'hands-on' with Jetson and experience the power of AI.
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
A ROS package making it simple to use CSI cameras on the Nvidia Jetson TK1, TX1, or TX2 with ROS.
A straightforward library to interface with the Jetson TX1 GPIO pins
Tools for running the Linux From Scratch book instructions
The jiant toolkit for general-purpose text understanding models
http://wiki.ros.org/joint_state_publisher
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Renderers and renderer extensions for JupyterLab
JupyterLab computational environment.
An Extension for the Interactive development of Dash apps in JupyterLab
JupyterLab extension visualize data with Voyager
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
This is now the official location of the Kaldi project.
A PyTorch Library for Accelerating 3D Deep Learning Research
Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
A simple remake of the awesome game Descent
Character-Aware Neural Language Models. A keras-based implementation
English translated and enhanced Kelp.Net
English version of Kelp.Net with documentation and advanced testing and other features.
R Interface to Keras
Deep Learning for humans
Implementation of Adversarial Autoencoder in Keras
Keras Generative Adversarial Networks
Reference implementations of popular deep learning models.
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
A simple technique to integrate BERT from tf hub to keras
practice on CIFAR10 with Keras
Keras community contributions
Keras Deep Learning Cookbook, published by Packt
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.