emigmo

.dotfile

some dotfiles for basic tool under *nix

algorithms

Algorithms & Data Structures in C++

apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - 2D ConvNet-based object segmentation and 6D object pose estimation.

AS_6Dof_Arm

robot arm by ROS & Moveit, Train Deep Reinforcement Algorithms

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Imitation-Learning-from-Observation

InterSim

robel

ROBEL: Robotics Benchmarks for Learning with low-cost robots

TC_CAINIAO

天池竞赛代码－著名非专业

Transferable-Active-Grasping

Transferable Active Grasping and Real Embodied Dataset (ICRA 2020)

emigmo/apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - 2D ConvNet-based object segmentation and 6D object pose estimation.

emigmo/awesome-deep-vision

A curated list of deep learning resources for computer vision

emigmo/awesome-hand-pose-estimation

Awesome works on hand pose estimation/hand tracking

emigmo/awesome-rl

Reinforcement learning resources curated

emigmo/basic_reinforcement_learning

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

emigmo/blackdrops

Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017

emigmo/data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

emigmo/DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

emigmo/flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

emigmo/GA3C

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

emigmo/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

emigmo/Grasp-Detector

Code to detect planar grasps

emigmo/graspit

The GraspIt! simulator

emigmo/graspit-pkgs

Collection of packages related to GraspIt!

emigmo/matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

emigmo/Mesh_Reconstruction

IROS 2017-Code for combining Partial Object PointCloud with a CNN generated Voxel Grid

emigmo/Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

emigmo/mgail

Model-Based Generative Adversarial Imitation Learning

emigmo/mil

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

emigmo/object_detector_6d

Object Recognition and Pose Estimation from Depth Camera Input

emigmo/parallel-trpo

A parallel version of Trust Region Policy Optimization

emigmo/py-R-FCN-multiGPU

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

emigmo/pytorch-practice

Some example scripts on pytorch

emigmo/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

emigmo/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

emigmo/rl-teacher

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

emigmo/rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

emigmo/slambook

emigmo/tensorflow-posenet

Implementation of Posenet in TensorFlow

emigmo/TF-Tutorials

A collection of deep learning tutorials using Tensorflow and Python