Stars
Adversarial attacks in consensus-based multi-agent reinforcement learning
Using GAN to generate Terrain from LiDAR data
Finance application that provides more than 60 different alternative data to retail investors
An offline deep reinforcement learning library
An implementation of an OpenAI gym environment for EPRI OpenDSS, using OpenDSS's native Python COM interface.
Image restoration with neural networks but without learning.
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.
���🤖🏀 AI web app and API to analyze basketball shots and shooting pose.
Hands-on Deep Reinforcement Learning, published by Packt
A toolkit for reproducible reinforcement learning research.
TensorFlow (Python API) implementation of Neural Style
Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.
A comprehensive guide of how to make publication-ready figures in python
Reinforcement learning tutorials
Lessons learned the hard way through over 30+ data science interviews
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Roadmap to becoming an Artificial Intelligence Expert in 2022
NelleV / jhepc
Forked from scipy-conference/jhepcJohn Hunter Excellence in Plotting Contest
TRPO Implementation in Tensorflow 2.0 for Reinforcement Learning Project @ Sapienza
This function searches (brute search) for the optimal Gray coded map resulting in least PAPR.
This function generates the response time optimal controller parameters for a permanent magnet motor, resulting in zero torque ripple under no measurement noise.
I have implemented the examples presented in David silver's lectures on Ipython notebooks. They can be opened through google colab.
Clustor deployable custom DDPG algorithm for Multi Agent RL impleted in Tensorflow
This code generates the special number triangles in any base representation.