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Bio: A Collection of Learning Algorithms Including Applications of Behavioral Prediction and Path Planning.

etarakci-hvl's Projects

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-neuroevolution

Deep Neuroevolution

deep-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepmimic

Motion imitation with deep reinforcement learning.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeppruner

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

desire

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

dm_env

A Python interface for reinforcement learning environments

docs

TensorFlow documentation

dqn-obstacle-avoidance

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

dqn_ddqn_dueling_and_ddpg_tensorflow

Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient (DDPG)

dqn_pytorch

Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch

drl_path_planning

This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

dstn

Deep Spatio-Temporal Neural Network (DSTN)

dtld_parsing

Scripts for loading and visualizing the DriveU Traffic Light Dataset (DTLD)

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

eudm_planner

Efficient Uncertainty-aware Decision-making for Autonomous Vehicles Using Guided Branching

evolutionary-algorithm

Evolutionary Algorithm using Python

evolutionary-computation-course

Jupyter/IPython notebooks about evolutionary computation.

examples

TensorFlow examples

f1-10_rrt_planning

Motion planning with RRT* on F1/10 autonomous racing car

f110_rrt_star

RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car

fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fast-rrt-star

Vanilla implementation of Rapidly Exploring Random Tree (RRT), Rapidly Exploring Random Graph (RRG) and Rapidly Exploring Random Tree* (RRT*)

flann

Fast Library for Approximate Nearest Neighbors

fnri

Factoried Neural Relational Inference for Multi-Interacting Systems

etarakci-hvl Goto Github PK

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