edwinyi

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

SR_KF_methods

Factored-form (square-root) discrete-time Kalman filter implementation methods

2019-nonnegative-sparse-coding

M Beyeler*, EL Rounds*, KD Carlson, N Dutt, JL Krichmar (2019). Neural correlates of sparse coding and dimensionality reduction. PLOS Computational Biology 15(6): e1006908. (*equal contribution)

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

Awesome-Incremental-Learning

Awesome Incremental Learning

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

BensmaiaLab

Public Repository for Bensmaia Lab

cleargrasp

Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"

Collective-Low-rank-Subspace

DA

Unsupervised Domain Adaptation Papers and Code

Discriminative-Kalman-Filter

companion code for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

form2fit

Train generalizable policies for kit assembly with self-supervised dense correspondence training.

GEM

guillaumeBellec.github.io

Personal website

intprim

Interaction Primitives library

lctc

Heterogeneous domain adaptation through progressive alignment, TNNLS

LPJT

Locality Preserving Joint Transfer for Domain Adaptation, TIP 2019

lrde

Code for "Low-rank discriminant embedding for multiview learning" published on IEEE TCYB

motion_planning

Robot path planning, mapping and exploration algorithms

MTT

multineuronKernel

multineuron spike train kernel

papi

Example implementations for paper "Projections for Approximate Policy Iteration" paper

Reproducible-Deep-Compressive-Sensing

Collection of reproducible deep learning for compressive sensing

SpikingManifolds

The source code for Wärnberg & Kumar, Perturbing Low Dimensional Activity Manifolds in Spiking Neuronal Networks, 2019, PLoS Computational Biology

SpykeTorch

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Stein-variational-samplers

Python and MATLAB code for Stein Variational sampling methods

tensorly

TensorLy: Tensor Learning in Python.

tit

Code for "Transfer Independently Together: A Generalized Framework for Domain Adaptation" published on IEEE TCYB

VisGel

[CVPR 2019] Connecting Touch and Vision via Cross-Modal Prediction

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.