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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

breakfast_creativity

cbcl

cbcl-pr

cbcl_rgbd

cifar-autoencoder

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

cl_hri

cnn_object_classification

Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.

colab

Continual Learning tutorials and demo running on Google Colaboratory.

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, DGR, LwF, Replay-through-Feedback).

continual-learning-benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

contrastive_open_world

cs479.github.io

Neural Networks

cv

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

deep_object_pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

deep_openset_recognition_through_uncertainty

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

dgg

Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding", In ICCV 2019.

eec

factored3d

Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"

fetch_demos

Fetch Robot demonstration and example ROS packages

fetch_mobile_manipulation

Framework for Mobile Manipulation Research

fetch_pbd

Programming by Demonstration for Fetch

gdm

Growing Dual-Memory Self-Organizing Networks

geompickplace

Code for reproducing experiments for the paper "Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion".

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hebbian-learning-cnn

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

htmpapers

Numenta published papers code and data