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cifar-dataset-master

cwcf

Source code for paper Classification with Costly Features using Deep Reinforcement Learning.

dagmm-pytorch

dataset

医学影像数据集列表

deep-adaptive-sampling-mask

deep-kernel-learning-for-one-class-classification

Minimum Variance-Embedded Deep Kernel Regularized Least Square Method for One-class Classification and Its Applications to Biomedical Data

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deep-reinforcement-learning-for-multi-class-imbalanced-classification

Implementation of "Deep reinforcement learning for imbalanced classification" and its extended version to multi-class

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deeprank

Deep learning framework for data mining protein-protein interactions using CNN

deepsurv

DeepSurv is a deep learning approach to survival analysis.

derol

Deep Reinforcement One-Shot Learning Framework for Artificially Intelligent Classification Systems

dqn-finance

Reinforcement Learning for finance

drl

Code for paper "Decoupling Representation Learning for Imbalanced Electroencephalography Classification in Rapid Serial Visual Presentation Task”

dsebm

implementation of DSEBM(https://arxiv.org/abs/1605.07717)

extremelearningmachine

Python numpy implementation of Extreme Learning Machine (ELM) and ELM for one class classification.

gessvdd

Graph embedded subspace support vector data description

gmm

Gaussian Mixture Models in Python

graph-signal-sampling-algorithm

实现了https://ieeexplore.ieee.org/document/8827302/中所提图信号采样与重建算法，并进行实现了E-optimal采样算法以此进行对比

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

imbdrl

Imbalanced Classification with Deep Reinforcement Learning

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

mdl4ow

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.

medmnist

18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: pip install medmnist

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

ml-prediction-model

ocsvm-anomaly-detection

anomaly detection by one-class SVM

pixel2mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.