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adversarial-variational-bayes

A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.

anchor-diff-vos

Anchor Diffusion for Unsupervised Video Object Segmentation

applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

awesome-background-subtraction

A curated list of background subtraction related papers and resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-network-embedding

A curated list of network embedding techniques.

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian_cnn

Bayes by Backprop implemented in a CNN

bayesiannn_uncertainty

Codes for WCCI paper on uncertainty quantification.

bdl

Bayesian Deep Learning

bgslibrary

A background subtraction library

blackbox-bandits

Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"

books

ROS学习相关电子书，目前收集了10本

boxparticlefilter

Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.

bpl

Bayesian Program Learning model for one-shot learning

buzz

A programming language designed for robot swarms.

capsnet

Tensorflow implementation of capsule network (CapsNet) for traffic prediction.

car-race---an-evolutionary-game

This repo implements a car racing game with evolutionary training.

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer_ros

Provides ROS integration for Cartographer.More details in Chinese http://www.cnblogs.com/hitcm/

ceres-solver-1.11.0

churn_telecom

cocoapi

COCO API - Dataset @ http://cocodataset.org/

convgp

Convolutional Gaussian processes based on GPflow.

convnets-as-gps

Code for "Deep Convolutional Networks as shallow Gaussian Processes"

cornernet-lite

cplex-optim

Optimization problems solved by IBM CPLEX

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

cse515t

Materials for Bayesian Methods in Machine Learning Course