ryosukeaaaaa's Stars
Rich2k/RBDMuteSwitch
Prior to iOS 5 it was relatively straightforward to detect whether a device was muted by using an audio route to detect playback type.
jogendra/example-ios-apps
A curated list of Open Source example iOS apps developed in Swift. An amazing list for people who are beginners and learning ios development and for ios developers who need any example app or feature.
kickstarter/ios-oss
Kickstarter for iOS. Bring new ideas to life, anywhere.
yaitaimo/a-first-two-char-input-method
seikichi/kytea-python
yxonic/DTransformer
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer (WWW '23)
bigdata-ustc/EduKTM
The Model Zoo of Knowledge Tracing Models
bigdata-ustc/EduData
Edudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education
lucidrains/iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Atik-Ahamed/TimeMachine
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
liaoyuhua/tempo-pytorch
Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
state-spaces/mamba
Mamba SSM architecture
google-research/l2p
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
awslabs/gluonts
Probabilistic time series modeling in Python
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
hyunwoongko/transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
LiDan456/MAD-GANs
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
7fantasysz/MSCRED
Multi-Scale Convolutional Recurrent Encoder-Decoder
NetManAIOps/OmniAnomaly
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
tnakae/DAGMM
DAGMM Tensorflow implementation
khundman/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.