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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, ... 🧠

cwru

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

lstm-keras-cmapss

Using LSTM to predict Remaining Useful Life of CMAPSS Dataset

lstm-lifetime-estimation

This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.

on-lstm

Keras implement of ON-LSTM (Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks)

ordered-neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

paper-reading

深度学习经典、新论文逐段精读

projectrul

to prediction the remain useful life of bearing based on 2012 PHM data

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

remaining-useful-life-prediction-for-turbofan-engines

RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.