xiaowang (onism)

onism

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xiaowang's starred repositories

SAEM-ABC

example code for the paper by Picchini & Samson 2017, "Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models", arXiv:1512.04831.

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Continuous-ConvOp

The Continuous Convolution Operator Tracker (C-COT).

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importance-sampling

Code for experiments regarding importance sampling for training neural networks

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learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

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deepbayes-2018

Seminars DeepBayes Summer School 2018

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pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

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SIVI

Using neural networks to build an expressive hierarchical distribution; A variational inference method to accurately estimate the posterior uncertainty; A fast and general method for approximate Bayesian inference. (ICML 2018)

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cost-optimal-particle-filter

We present demonstrative tools for exploring the themes described in Warrington and Dhir. "Generalising Cost-Optimal Particle Filtering." arXiv preprint arXiv:1805.00890 (2018).

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kernel_hmc

Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"

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masters_thesis

Real-time 3D Object Detection for Autonomous Driving

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Complex-YOLO

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

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snl

Sequential Neural Likelihood

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bssm

Bayesian Inference of State Space Models

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3DOD_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

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l2hmc

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

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segnet

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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pyfilter

Particle filtering and sequential parameter inference in Python

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maf

Masked Autoregressive Flow

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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snail

A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper

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100-Days-Of-ML-Code

100 Days of ML Coding

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Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

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MOTBeyondPixels

Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)

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Neural-Decision-Forests

An implementation of the Deep Neural Decision Forests in PyTorch

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ciwt

This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.

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DeepTracking

Source code of DeepTracking research project

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NAF

Experiments for the Neural Autoregressive Flows paper

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TrackerComponentLibrary

This is a collection of Matlab functions that are useful in the development of target tracking algorithms.

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