coolcodelvs Goto Github PK

advae

PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection

adversarialattack-phm

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

attention_based_multihead_model_for_aircraft_engine_rul_prediction_

Attention-based multihead model for optimized aircraft engine remaining useful life prediction

attentive-neural-processes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

attnpinn-for-rul-estimation

A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

automl-paper

This repository contains the replication package of "An Empirical Study on the Usage of Automated Machine Learning Tools" paper.

autosub

[NO LONGER MAINTAINED] Command-line utility for auto-generating subtitles for any video file

autotorch

AutoTorch, A HPO Toolkit

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-knowledge-distillation-1

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

backend

后台开发相关知识

baer_fault_diagnosis

Bearing fault diagnosis model based on MCNN-LSTM

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

batterysocmodel

This model is used to estimate the SOC of battery based on NN and Kalman filter.

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

bayesian-mcmc-prognostics

this code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model.

bayesian-optimization

Deep learning hyperparametric tuning based on Bayesian optimization

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

bayesian_network_learning

融合专家知识的贝叶斯网络结构学习

bayesian_uncertainty_lstm

Bayesian, Uncertainty, Neutral Networks, LSTM, time series

bayesianneuralnet_stockmarket

Bayesian neural network with Parallel Tempering MCMC for Stock Market Prediction

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesrul

Bayesian Neural Networks to predict RUL on CMAPSS and N-CMAPSS

bearing-grease-age-prediction

This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for both inner-sensor and cross-sensor feature fusion and a deep residual neural network (ResNet) for accurate grease life prediction and bearings health monitoring.

bearing_defect_simulation

A python library to create vibration signal for bearing defects.

bearing_detection_by_conv1d

[深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

block-recurrent-transformer

Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)