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annotated-transformer

An annotated implementation of the Transformer paper.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 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, ... 🧠

beijing_daxuexi_simple

北京 青年大学习 使用Github Actions自动完成

causalconvolutiongranger

everyday-up

study everyday

future-network

ida-

neural-gc

Granger causality discovery for neural networks.

pdf2svg

A simple PDF to SVG converter using the Poppler and Cairo libraries

realseries

RealSeries is a comprehensive out-of-the-box Python toolkit for various tasks, including Anomaly Detection, Granger causality and Forecast with Uncertainty, of dealing with Time Series Datasets.

tcn

Sequence modeling benchmarks and temporal convolutional networks

tdd

time-series-library

A Library for Advanced Deep Time Series Models.

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

unsupervisedscalablerepresentationlearningtimeseries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments