YidingYu's Stars
ossrs/srs
SRS is a simple, high-efficiency, real-time media server supporting RTMP, WebRTC, HLS, HTTP-FLV, HTTP-TS, SRT, MPEG-DASH, and GB28181.
sunface/rust-course
“连续八年成为全世界最受喜爱的语言,无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容,这可能是目前最用心的 Rust 中文学习教程 / Book
skywind3000/kcp
:zap: KCP - A Fast and Reliable ARQ Protocol
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
facebook/Ax
Adaptive Experimentation Platform
alibaba/xquic
XQUIC Library released by Alibaba is a cross-platform implementation of QUIC and HTTP/3 protocol.
kixelated/moq-rs
Rust library for Media over QUIC
EricssonResearch/scream
SCReAM - Mobile optimised congestion control algorithm
facebookresearch/mvfst-rl
An asynchronous RL platform for congestion control in QUIC transport protocol. https://arxiv.org/abs/1910.04054.
PCCproject/PCC-RL
Reinforcement learning resources for PCC.
kixelated/moq-js
Typescript library for Media over QUIC
PCCproject/PCC-Uspace
The userspace implementations of PCC.
rmarx/holblocking-blogpost
Blogpost on Head-of-Line blocking from HTTP/1 to HTTP/3
Soheil-ab/Orca
Orca: Towards Mastering Congestion Control In the Internet
transys-project/metis
Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
qw225967/Bifrost
Bifrost is an experimental system that integrates multiple Qos methods, and use to conduct point-to-point/multi-point weak network confrontation experiments.
bytedance/E3PO
GenetProject/Genet
The repository of Genet project.
mengelbart/rtp-over-quic
AgoraIO-Community/Idea-Box
hongzimao/input_driven_rl_example
Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)
Soheil-ab/DeepCC.v1.0
DeepCC: A Deep Reinforcement Learning Plug-in to Boost the performance of your TCP scheme in Cellular Networks!
mengelbart/rtp-over-quic-draft
bbc/gst-quic-transport
Core QUIC Transport elements for GStreamer
VITA-Group/SymbolicPCC
📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
moq-wg/moq-requirements
OpenNetLab/Challenge-Environment
This is the runtime environment for challenge https://2021.acmmmsys.org/rtc_challenge.php
francisyyan/scream
Reproduce SCReAM
wcsmith/draft-quic-receive-ts
Draft describing a QUIC extension for reporting receive timestamps