onism

pytorch-multi-label-classifier

A pytorch implemented classifier for Multiple-Label classification

mGBDT

This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .

RAS

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

RMDL

RMDL: Random Multimodel Deep Learning for Classification

forestlayer

ForestLayer: Efficient and scalable deep forest learning library based on Ray

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

monorfs

Visual SLAM using Random Finite Sets

SM-MLC

Multilabel Classification - Problem analysis, metrics and techniques software and data repository

box-plots-for-education

Competition results for Box-plots for Education https://www.drivendata.org/competitions/4/

mSRGAN-A-GAN-for-single-image-super-resolution-on-high-content-screening-microscopy-images.

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

monte-carlo-rcpp

Various sequential Monte Carlo and Markov chain Monte Carlo algorithms and applications implemented in C++ which can be called from R via RCpp.

MedicalDataAugmentationTool

SORADSIM

Space Object RADar SIMulator

JuliaTutorial

Julia Tutorial for Finance and Econometrics Students

RFS-SLAM

A C++ Library for Simultaneous Localization and Mapping using Random Finite Sets

Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

swgmm

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

pfnet

Particle Filter Network (PF-net)

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

2017_iv_deep_radar

Supporting material for "Deep Stochastic Radar Models," submitted to IV 2017

winference

R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)

benchmark_results

Visual Tracking Paper List

MLSTM-FCN

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Cassie_StateEstimation

Code for various extended Kalman filter state estimation methods for Cassie.

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

TrackingNetFlow

Keras-GAN

Keras implementations of Generative Adversarial Networks.

CREST-Release

CREST: Convolutional Residual Learning for Visual Tracking