mb-Ma

mb-Ma's Stars

• wdndev/llm_interview_note

  主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

  Language:HTML2.6k305

• uctb/Urban-Dataset

  Language:Jupyter Notebook216

• jamespfennell/subwaydata.nyc

  Source code for subwaydata.nyc ETL pipeline and website

  Language:Go61

• davidanastasiu/NECPlus

  NECPlus

  Language:Jupyter Notebook164

• Osakwe1/TFL_Stations

  This project aims to examine the patterns of travel on the Transport for London (TfL) network using TfL open access data from 2007 to 2021

  Language:Jupyter Notebook41

• wavefrontshaping/complexPyTorch

  A high-level toolbox for using complex valued neural networks in PyTorch

  Language:Python615148

• decisionintelligence/TFB

  [PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

  Language:Shell27527

• zhoubolei/bolei_awesome_posters

  CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

  1.4k126

• Fengrui-Liu/StreamAD

  Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

  Language:Python11023

• NEGU93/cvnn

  Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

  Language:Python16033

• RElbers/info-nce-pytorch

  PyTorch implementation of the InfoNCE loss for self-supervised learning.

  Language:Python46438

• Wangt-CN/IP-IRM

  [NeurIPS 2021 Spotlight] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

  Language:Python12816

• terryum/Data-Augmentation-For-Wearable-Sensor-Data

  A sample code of data augmentation methods for wearable sensor data (time-series data)

  Language:Jupyter Notebook38978

• VEWOXIC/FITS

  FITS: Frequency Interpolation Time Series Analysis Baseline

  Language:Jupyter Notebook11313

• datawhalechina/so-large-lm

  大模型基础: 一文了解大模型基础知识

  2.5k226

• FSPML/FSPML

  Language:Java3810

• HybridGraph/HGraph

  HGraph(HybridGraph) is a Pregel-like system which merges Pulling/Pushing for I/O-Efficient distributed and iterative graph computing.

  Language:Shell4914

• boreshkinai/fc-gaga

  Language:Jupyter Notebook639

• john-x-jiang/meta_ssm

  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"

  Language:Python27

• radrumond/timehetnet

  Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each task/data set. Leveraging learning experience with similar datasets is a well-established technique for classification problems called few-shot classification. However, existing approaches cannot be applied to time-series forecasting because i) multivariate time-series datasets have different channels and ii) forecasting is principally different from classification. In this paper we formalize the problem of few-shot forecasting of time-series with heterogeneous channels for the first time. Extending recent work on heterogeneous attributes in vector data, we develop a model composed of permutation-invariant deep set-blocks which incorporate a temporal embedding. We assemble the first meta-dataset of 40 multivariate time-series datasets and show through experiments that our model provides a good generalization, outperforming baselines carried over from simpler scenarios that either fail to learn across tasks or miss temporal information.

  Language:Python409

• cure-lab/LTSF-Linear

  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

  Language:Python1.9k437

• GestaltCogTeam/BasicTS

  A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

  Language:Python51990

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.9k858

• AprLie/TrafficStream

  Language:Python4210

• bycnfz/weather2k

  282

• DongkiKim95/D-SLA

  Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)

  Language:Python162

• Essaim/CGCDemandPrediction

  Language:Python4712

• ojus1/Date2Vec

  PyTorch Scripts for training and getting embeddings of Date-Time without losing much information. Pretrained Models Included.

  Language:Python5215

• hwwang55/KGCN

  A tensorflow implementation of Knowledge Graph Convolutional Networks

  Language:Python478150

• kevin-xuan/FOGS

  [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting

  Language:Python223