The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

如何搭建一个树洞

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Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

DAGMM Tensorflow implementation

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

proof of concept for a transformer-based time series prediction model

Adaptive Graph Convolutional Recurrent Network

Tensorflow implementation of Amazon DeepAR

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Implementation of deep learning models for time series in PyTorch.

Freeze (package) Python programs into stand-alone executables

Models and examples built with TensorFlow

PyTorch Tutorial for Deep Learning Researchers

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

XV6 with cp,mv,head,tail,clear,cd,pwd and 2 editors . Can write and execute basic shell scripts

Text Editor for xv6

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

A curated list of awesome architecture search resources

Hypergraph Neural Networks (AAAI 2019)