etarakci-hvl's repositories
keras
Deep Learning for humans
dm_control
The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
graph_nets
Build Graph Nets in Tensorflow
caffe
Caffe: a fast open framework for deep learning.
DeepPruner
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
TrackNPred
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
rrt-algorithms
n-dimensional RRT, RRT* (RRT-Star)
streetlearn
A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
lab
A customisable 3D platform for agent-based AI research
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Trajectron
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
hanabi-learning-environment
hanabi_learning_environment is a research platform for Hanabi experiments.
pysc2
StarCraft II Learning Environment
compression
Data compression in TensorFlow
dtld_parsing
Scripts for loading and visualizing the DriveU Traffic Light Dataset (DTLD)
keras-tuner
Hyperparameter tuning for humans
katib
Repository for hyperparameter tuning
darknet
Convolutional Neural Networks
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
deap
Distributed Evolutionary Algorithms in Python
Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
NRI
Neural relational inference for interacting systems - pytorch
owl
motion planning algorithms with demos for various state-spaces
Autopilot-TensorFlow
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
dstn
Deep Spatio-Temporal Neural Network (DSTN)
f110_rrt_star
RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car