Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ATFNet
Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
BasicTS
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
coach
антипрокристинатор
m6129
UrFU_2022_python
SF homework
VKR
Investigation of the capabilities of foundations models in the context of time series forecasting
m6129's Repositories
m6129/VKR
Investigation of the capabilities of foundations models in the context of time series forecasting
m6129/m6129
m6129/ATFNet
Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
m6129/AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
m6129/chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
m6129/FEDformer
m6129/generative-ai-on-aws
Generative AI on AWS
m6129/GPT4TS
fork official repository One Fits All: Power General Time Series Analysis by Pretrained LM
m6129/GTT
Codebase for General Time Transformer - Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
m6129/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
m6129/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
m6129/ModernTCN
This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU
m6129/moment
m6129/nixtla
Python SDK for TimeGPT, a foundational time series model
m6129/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
m6129/prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
m6129/Scrapegraph-ai
Python scraper based on AI
m6129/scripts
m6129/SegRNN
The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting."
m6129/SimMTM
About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861
m6129/skpro
A unified framework for tabular probabilistic regression and probability distributions in python
m6129/SparseTSF
[ICML 2024] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters"
m6129/TFB
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf
m6129/Time-Series-Library
A Library for Advanced Deep Time Series Models.
m6129/TimeMixer
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
m6129/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
m6129/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
m6129/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
m6129/UniTime_for_Kaggle
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)
m6129/wandb
отслеживание потребления вычислительных ресурсов?