sanghongrui's Stars
tensorflow/models
Models and examples built with TensorFlow
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
stanfordnlp/GloVe
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
tkipf/pygcn
Graph Convolutional Networks in PyTorch
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
loudinthecloud/pytorch-ntm
Neural Turing Machines (NTM) - PyTorch Implementation
MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
devendrachaplot/Object-Goal-Navigation
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
facebookresearch/habitat-challenge
Code for the habitat challenge
google-deepmind/dm_memorytasks
A set of 13 diverse machine-learning tasks that require memory to solve.
google-research/episodic-curiosity
Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
alexsax/midlevel-reps
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
vincentcartillier/Semantic-MapNet
facebookresearch/exploring_exploration
This paper contains code for our work "An Exploration of Embodied Visual Exploration".
LinZichuan/emdqn
Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018
EndingCredits/Neural-Episodic-Control
Implementation of Deepmind's Neural Episodic Control
thaihungle/SAM
Self-attentive Associative Memory & SAM-based Two-Memory Model
saimwani/multiON
Code for reproducing the results of NeurIPS 2020 paper "MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation”
joel99/objectnav
Resources for Auxiliary Tasks and Exploration Enable ObjectNav
cassieqiuyd/MJOLNIR
Python implementation of the paper Learning hierarchical relationships for object-goal navigation
pairlab/d2rl
Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
wqynew/RL-based-navigation
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
jxwuyi/HouseNavAgent
Navigation agent with Bayesian relational memory in the House3D environment
yosider/merlin
(Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760
aimagelab/DynamicConv-agent
PyTorch code for BMVC 2019 paper: Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters
psavine42/fun-with-dnc
Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Computer) + some applications
Kajiyu/MANNs
Memory Augmented Neural Networks (Pytorch)
didibear/macn-gym-pathfinding
Memory Augmented Control Network implementation with tensorflow for gym-pathfinding
edbeeching/ego_map
EgoMap: Projective mapping and structured egocentric memory for Deep RL
yutiansut/awesome-fast-attention
list of efficient attention modules