[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration
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Updated
May 30, 2018 - Python
[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration
Demonstrate Senzing stack using `docker-compose`.
Algorithms and data structures for educational, demonstrational and experimental purposes.
Python library that implements a game similar to the Sorry board game
🔥 Workshop in AI Deployment (INF-1600, UiT)
A Companion suite for https://blog.mozilla.org/services/2017/02/23/managing-push-subscriptions/
Modbus TCP vulnerability demonstration
🔐 Demonstration of impractical bruteforce of BTC wallets in Python 3.5
Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.
🚀 Sample python application and CI settings for GitOps
Dockerfile demonstrating simple Flask app using Senzing.
Complements https://ee491f.github.io/course-material/#django
A simple script demonstrating the power that comes with SSID sniffing
A simple setup that demonstrates concept of zombie computer and using it for dos.
Quickly and easily start the Senzing REST API server, demo web app & Swagger in containers.
For better understanding of far-field diffraction patterns obtained in coherent X-ray diffraction I wrote a simple stand-alone application for laptops with built-in web cams. It allows to see coherent effects from different systems, which can be simply exposed to the web camera being drawn on the paper. There is a number of similar applications …
B.Tech Final year project demo
teaching the functionality of adaptive optics with model
A short demonstration of GANs learning a probability distribution
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