emigmo

emigmo's Stars

• wojzaremba/trpo

  Language:Python9952

• StanfordVL/trpo

  Language:Python21

• google-research/batch-ppo

  Efficient Batched Reinforcement Learning in TensorFlow

  Language:Python968146

• getnamo/TensorFlow-Unreal

  TensorFlow plugin for the Unreal Engine.

  Language:C++1.2k211

• nottombrown/rl-teacher

  Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

  Language:Python55995

• GRAAL-Research/domain_adversarial_neural_network

  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)

  Language:Python13940

• vmayoral/basic_reinforcement_learning

  An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

  Language:Jupyter Notebook1.1k358

• jhu-lcsr/sp_segmenter

  Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

  Language:C++3621

• oarriaga/STN.keras

  Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

  Language:Jupyter Notebook27875

• JingyunLiang/CVPR-2017-Abstracts-Collection

  Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments

  18657

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k45.8k

• tzutalin/ros_caffe

  :coffee: Integrate Caffe model into ROS

  Language:C++7049

• bayesian-object-tracking/dbot_ros

  ROS package of Depth-Based Bayesian Object Tracking

  Language:C++5723

• bayesian-object-tracking/getting_started

  This is the right place for you to get started!

  339

• Riashat/Active-Learning-Bayesian-Convolutional-Neural-Networks

  Active Learning on Image Data using Bayesian ConvNets

  Language:Python13645

• camigord/DRL_papernotes

  Notes and comments about Deep Reinforcement Learning papers

  7615

• jingweiz/pytorch-rl

  Deep Reinforcement Learning with pytorch & visdom

  Language:Python797143

• fastai/courses

  fast.ai Courses

  Language:Jupyter Notebook5.6k2.7k

• CSAILVision/NetDissect

  Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

  Language:Python447115

• facebookresearch/ELF

  An End-To-End, Lightweight and Flexible Platform for Game Research

  Language:C++2.1k284

• shehroze37-zz/Augmented-Deep-Reinforcement-Learning-for-3D-environments

  Language:C++54

• endernewton/tf-faster-rcnn

  Tensorflow Faster RCNN for Object Detection

  Language:Python3.6k1.6k

• daijifeng001/R-FCN

  R-FCN: Object Detection via Region-based Fully Convolutional Networks

  Language:Matlab1.2k543

• rock-learning/bolero

  Behavior Optimization and Learning for Robots

  Language:C++6429

• marcino239/pilco

  Using Pilco algorithm to find a controller for few robotic problems

  Language:Python4317

• ethereon/caffe-tensorflow

  Caffe models in TensorFlow

  Language:Python2.8k1k

• atenpas/gpd

  Detect 6-DOF grasp poses in point clouds

  Language:C++635236

• synpon/prog_nn

  A Quick and Dirty Progressive Neural Network written in TensorFlow.

  Language:Python5321

• awjuliani/TF-Tutorials

  A collection of deep learning tutorials using Tensorflow and Python

  Language:Jupyter Notebook521189

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.8k1.3k