Popular GitHub Repositories for Delay

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

实时语音交互数字人，支持端到端语音方案（GLM-4-Voice - THG）和级联方案（ASR-LLM-TTS-THG）。可自定义形象与音色，无须训练，支持音色克隆，首包延迟低至3s。Real-time voice interactive digital human, supporting end-to-end voice solutions (GLM-4-Voice - THG) and cascaded solutions (ASR-LLM-TTS-THG). Customizable appearance and voice, supporting voice cloning, with initial package delay as low as 3s.

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

simple delaysum, MVDR and CGMM-MVDR

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

Time delay neural network (TDNN) implementation in Pytorch using unfold method

Decentralized Multiagent Trajectory Planner Robust to Communication Delay

PyTorch implementation of Densely Connected Time Delay Neural Network

An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in fully customizable scenarios (e.g., coverage maximization, tracking, spotting).

This repository contains my implementation of the research paper "Delay-Tolerant Network Routing as a Machine Learning Classification Problem" for the Study Project under VS Shekhawat Sir.

(NeurIPS 2023) Source-code of the paper: Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback

ARIMA model, LSTM neural network and DMD algorithm

This project analyzes and visualizes airline delay causes using data sourced from Kaggle. Additionally, it applies machine learning techniques to predict and understand factors contributing to flight delays, such as weather, airline operations, and more.

Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction

Modern machine learning project development - This end-to-end project implementation provides the real-time delay updates to logistic companies. It uses MLflow for model tracking and management, Hopsworks Feature Store for storing and managing the dataset, and Streamlit for building an interactive web application to predict truck delays.

Real-time flight monitoring and delay notification workflow built with n8n.

This research investigates flight delay trends, examining departure time, airline, and airport factors. Regression machine learning meth- ods are utilized to predict delay contributions from various sources. Time-series models, including LSTM, Hybrid LSTM, and Bi-LSTM, are compared with baseline regression models such as Multiple Regression, Decisi

Efficient Delay Reason Extraction in Patient Appointments/Treatments Using BERT and Tensorflow. - Feb 2022 - Jun 2023