isfj

TFDeepSurv

COX Proportional risk model and survival analysis implemented by tensorflow.

LSCDFS-MKL

HPFN

Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling

AI-Toolbox

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

Factorized-Bilinear-Network

FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)

RetinaNet

Focal loss for Dense Object Detection

focal-loss

Focal loss for Dense Object Detection

GHM_Detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

notes-LSJU-machine-learning

机器学习笔记

vqa-mfb

MulLowBiVQA

Hadamard Product for Low-rank Bilinear Pooling

vqa-mcb

CellProfiler

An open-source application for biological image analysis

Deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

lihang-code

《统计学习方法》的代码实现

CellProfiler-Analyst

Open-source software for exploring and analyzing large, high-dimensional image-derived data.

MultimodalPrognosis

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

TensorFusionNetworks

Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.

gbm-histology

DeepCCA

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

NetML

Network-based multi-task learning models for biomarker selection and cancer outcome prediction

DeepType

Deep_Matrix_Factorization_Models

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

keras

Deep Learning for humans

CapsNet_PTM

CapsNet for Protein Post-translational Modification site prediction.

CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

ganhacks

starter from "How to Train a GAN?" at NIPS2016

GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN