sikang99

WebRTC 資料まとめ

日時:	2018-10-27
作:	@voluntas
バージョン:	18.10.1
url:	https://voluntas.github.io/

概要

sikang99

WebRTC の未来

更新:	2018-10-27
作者:	@voluntas
バージョン:	18.10.3
URL:	http://voluntas.github.io/

sikang99

詳解 WebRTC

更新:	2017-09-26
作者:	@voluntas
作者サイト:	http://voluntas.github.io/
バージョン:	1.2.1
セッション日時:	2017-09-24 14:20 - 15:00
セッション場所:	5号館3F

sikang99

// This is a bare bones example of creating a data channel between two WebRTC
// peers. Let's imagine two peers trying to connect to each other. We'll call
// one the "offer peer", and the other the "answer peer". The offer peer will
// be the one initiating a connection, and the answer peer will be the one
// responding to it.
//
// The two peers must use a separate connection to negotiate their connection.
// A websocket connection to a shared server is often used for this negotiation.
// They will exchange offers and answers using the websocket. Each peer will
// also attempt to discover more details about themselves (ICE), such as their

sikang99

Gstreamer Pipeline Samples

Table of Contents:

• Gstreamer Pipeline Samples
  • Tips for Debug
  • Video
    • display test video
    • record to file
• record and display at the same time(queue)

sikang99

sudo apt-get update
sudo apt-get install -y python3 python3-dev python3-pip gcc
sudo apt-get install -y python3-opencv
sudo apt-get install -y python3-numpy
sudo apt-get install git
sudo apt-get install wget
sudo apt-get install python3-setuptools
wget https://github.com/rockchip-linux/rknpu2/raw/master/runtime/RK356X/Linux/librknn_api/aarch64/librknnrt.so
sudo mv librknnrt.so /usr/lib/librknnrt.so
git clone https://github.com/rockchip-linux/rknn-toolkit2.git

sikang99

Compact Language Models

Abbrs

• GPT : Generative Pretrained Transformer
• LLaMA : Large Language Model Meta AI, Meta
• GLM : Generic Language Model, Tsinghua University
• LoRA : Low-Rank Adaptation, MS
• LiGO : Linear Growth Operator, MIT
• PEFT : Parameter-Efficient Fine-Tuning, Hugging Face
• LoRA + DeepSpeed + CPU offloading

sikang99

Learning Methods

Transfer Learning

Federated Learning

Meta Learning

sikang99

Efficient Deep Learning Methods

Repos

• https://github.com/htqin/awesome-model-quantization - A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research
• https://github.com/MingSun-Tse/Efficient-Deep-Learning - Collection of recent methods on (deep) neural network compression and acceleration
• https://github.com/GoogleCloudPlatform/llm-pipeline-examples - Training Large Language Models on Google Cloud

sikang99

Graph Neural Networks (GNNs)

• GCN : Graph Convolutional Networks
• GAT : Graph Attention Networks

Articles

• 2023/03/30 Transformer Taxonomy (the last lit review)
• 2023/03/21 AI trends in 2023: Graph Neural Networks
• 2023/03/20 What is Graph Neural Network? | An Introduction to GNN and Its Applications
• 2023/03/02 A Beginner’s Guide to Graph Neural Networks