taozqy Goto Github PK

360-fov-prediction

This project aims to explore, adapt, and develop a predictive system for anticipating viewers' gaze directions within immersive 360 degree images and videos by analyzing the past view direction.

360-video-dash-dataset

a-large-dataset-of-360-video-user-behaviour

abr-5g

A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)

accumo

[MobiCom '23] AccuMO: Accuracy-Centric Multitask Offloading in Edge-Assisted Mobile Augmented Reality

aiortc

WebRTC and ORTC implementation for Python using asyncio

alphartc

Evaluation framework for RL-based bitrate control for WebRTC

awesome-compression

模型压缩的小白入门教程

awesome-video-streaming-and-analysis

A curated list of up-to-date awesome video streaming/video analysis/video proceeding works

bones

cafm-pytorch-iccv2021

iccv2021-paper3163

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

dvc

DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

emt-pytorch-eccv2022

fedlive

FedLive: A Federated Transmission Framework for Panoramic Livecast with Reinforced Variational Inference

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

learning_research

本人的科研经验

llm-cookbook

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

machine-learning-toy-code

《机器学习》（西瓜书）代码实战

mai22-real-time-video-sr

The official codebase for the Real-Time Video Super-Resolution Challenge in Mobile AI (MAI) Workshop@ CVPR 2022 & Advances in Image Manipulation (AIM) Workshop @ ECCV 2022

nemo

This is an official GitHub repository for the paper, "NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices".

nemo-libvpx

neuralabr-pensieve-ppo-maml

use PPO and A2C to learn an optimal bitrate adaptation policy for traditional video streaming. These algorithms were implemented with Pytorch and python3.6

parima

PARIMA is a viewport adaptive 360-degree video streaming algorithm that takes into account the prime object trajectories as well as the head movement logs to predict the future viewports accurately

pensieve-5g

Pensieve for 5G datasets.

pensieve-ppo

The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, SAC, and support for both TensorFlow and PyTorch.

pensieve_retrain

Retraining Pensieve (SIGCOMM '17) model for better performance

ppoxfamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

repcam-pytorch

[NOSSDAV 2023] Official code for RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery