ruixiaozhang Goto Github PK

aiortc

WebRTC and ORTC implementation for Python using asyncio

artifact

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

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bocd

Python implementation of Bayesian online changepoint detection

c3d-tensorflow

caesar

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

comyco

The implementation of "Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning" (ACM MM 2019)

dds

DNN-Driven video Streaming

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepst

Deep Learning for Spatio-Temporal Data

draw_convnet

dynamic-programming-car-rental

Reinforcement learning problem solved with dynamic programming

fate

An Industrial Level Federated Learning Framework

fen

FEN Code

ksqi

Objective Quality-of-Experience Model Benchmark

malgraph

Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"

middleware

a simple middleware model

neural-enhanced-live-streaming

A real-time streaming framework that utilizes neural network-based super-resolution to enhance live video quality

nice-slam

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

node-rtsp-live555

get RTSP stream from IPC and export in FLV stream

park

pensieve-pytorch

A Pytorch implementation of Pensieve (SIGCOMM'18)

pitree

playground

PlayGround: AI Research into Multi-Agent Learning.

pointcloudcompression

Segmented PointCloud compression with DRACO, DBSCAN, Convolutional Autoencoders and 2D projection

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

qoe_dataset