Pinned Repositories
acme
A library of reinforcement learning components and agents
AINavigator
Projects as part of Udacity Nanodegree - AI Deep Reinforcement Learning
AIReacher
This project simply help you to get the core of how AI works in continuous states and detail implementation of Deep Deterministic Policy Gradients (DDPG) algorithm .
AiTennis
In this environment, two agents control rackets to bounce a ball over a net. If an agent hits the ball over the net, it receives a reward of +0.1. If an agent lets a ball hit the ground or hits the ball out of bounds, it receives a reward of -0.01. Thus, the goal of each agent is to keep the ball in play. The observation space consists of 8 variables corresponding to the position and velocity of the ball and racket. Each agent receives its own, local observation. Two continuous actions are available, corresponding to movement toward (or away from) the net, and jumping.
AiTxnOptimization
Optimal Executing of Portfolio Txns
AWS-Security-Essentials
AWS Security Essentials Conference Talk and 1 Day Workshop
CSChangeDetect
RBand difference
CSPracticalML
Coursera Project
ml-agents
Unity Machine Learning Agents Toolkit
RemoteSensing
Band difference
SENC's Repositories
SENC/AiTennis
In this environment, two agents control rackets to bounce a ball over a net. If an agent hits the ball over the net, it receives a reward of +0.1. If an agent lets a ball hit the ground or hits the ball out of bounds, it receives a reward of -0.01. Thus, the goal of each agent is to keep the ball in play. The observation space consists of 8 variables corresponding to the position and velocity of the ball and racket. Each agent receives its own, local observation. Two continuous actions are available, corresponding to movement toward (or away from) the net, and jumping.
SENC/AINavigator
Projects as part of Udacity Nanodegree - AI Deep Reinforcement Learning
SENC/ml-agents
Unity Machine Learning Agents Toolkit
SENC/acme
A library of reinforcement learning components and agents
SENC/AIReacher
This project simply help you to get the core of how AI works in continuous states and detail implementation of Deep Deterministic Policy Gradients (DDPG) algorithm .
SENC/AiTxnOptimization
Optimal Executing of Portfolio Txns
SENC/AWS-Security-Essentials
AWS Security Essentials Conference Talk and 1 Day Workshop
SENC/btgym
Scalable, event-driven, deep-learning-friendly backtesting library
SENC/building-spark-applications-live-lessons
Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
SENC/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
SENC/DL_PyTorch
Code for the Deep Learning with PyTorch lesson
SENC/gym
A toolkit for developing and comparing reinforcement learning algorithms.
SENC/Hands-On-Intelligent-Agents-with-OpenAI-Gym
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
SENC/kuduscreencast
SENC/ml-link-prediction-notebooks
Notebooks for the ML Link Prediction Course
SENC/Multi-Agent-DDPG-using-PTtorch-and-ML-Agents
A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
SENC/myRobot
SENC/myRobot1
Virtual Robot in Gazebo world
SENC/neo4j-browser
Neo4j Browser is the general purpose user interface for working with Neo4j. Query, visualize, administrate and monitor the database.
SENC/per
Prioritized Experience Replay (PER) implementation in PyTorch
SENC/realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more 🏅
SENC/rickshaw4iot
Visualization of data from Watson IoT Platform connected devices using Rickshaw
SENC/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
SENC/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
SENC/RoboND-Python-Starterkit
SENC/RoboND-Python-StarterKit-1
Repository to setup your Python environment for RoboND
SENC/RoboND-Rover-Project
Project repository for the Unity rover search and sample return project.
SENC/strom-starter
SENC/tensorflow
Computation using data flow graphs for scalable machine learning
SENC/trillion-graph
A scale demo of Neo4j Fabric spanning up to 1129 machines/shards running a 100TB (LDBC) dataset with 1.2tn nodes and relationships.