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dcg

deep-image-retrieval

End-to-end learning of deep visual representations for image retrieval

deepfool

A simple and accurate method to fool deep neural networks

deeprl_network

multi-agent deep reinforcement learning for networked system control.

densepointcloudvisualization_pangolin

This demo is a simple 3D reconstruction of the room with an RGB-D camera.I also provide KITTI's communication interface.

dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

dnd-lstm

A pytorch implementation of LSTM cell with a differentiable neural dictionary, based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall.

dreamer-pytorch

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

dreamer-pytorch-1

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

dso

Direct Sparse Odometry

dsvo

Direct Stereo Visual Odometry

eigen_matrixsolution_qr_cholesky

This is a small demo to learn Eigen library for QR,Cholesky and decomposition dynamic size matrix

emergence-communication-cco

Implementation of "Emergence of Communication in an Interactive World with Consistent Speakers"

epgd

Efficient Project Gradient Descent for Ensemble Adversarial Attack

evo

Python package for the evaluation of odometry and SLAM

flame

FLaME: Fast Lightweight Mesh Estimation

flame_ros

ROS bindings for FLaME: Fast Lightweight Mesh Estimation.

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

gaussian-newtonmethodforcurvefittingexperiment

This demo is curve fitting by G-N method,and it can help us better understand the optimization process.

gcn_adv_train

Adversarial training for Graph Neural Networks

generative-models

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

gr2

Appendix and Code for Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning

grad-cam-pytorch

PyTorch implementation of Grad-CAM

graph-adversarial-learning-literature

A curated list of adversarial learning papers on graph-structured data.

gym-minigrid

Minimalistic gridworld package for OpenAI Gym

hessianflow

ic3net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

icq

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

imagedistortion

This is a demo that restores distorted images based on the distortion equation.