etarakci-hvl's repositories
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
dm_env
A Python interface for reinforcement learning environments
apollo
An open autonomous driving platform
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
labmaze
A standalone release of DeepMind Lab's maze generator with Python bindings.
DeepMimic
Motion imitation with deep reinforcement learning.
openpilot
open source driving agent
KernelTrajectoryMaps
Kernel Trajectory Maps CoRL 2019
awesome-deep-learning-papers
The most cited deep learning papers
differentiable-plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
sgan
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
INFER
The code & datasets for the paper INFER: INtermediate representations for FuturE pRediction
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Keras-LSTM-Trajectory-Prediction
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
parallax
Tool for interactive embeddings visualization
eudm_planner
Efficient Uncertainty-aware Decision-making for Autonomous Vehicles Using Guided Branching
haskell
Haskell bindings for TensorFlow
trajectory_forcasting
A method for time series forecasting using a deep conditional generative model based in variational auto-encoders
DRL_Path_Planning
This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.
stnn
Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
SimJulia.jl
A discrete event process oriented simulation framework written in Julia
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Reinforcement_Learning_in_Python
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
tfpyth
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
motionplanning
Motion planning algorithm implementation