Arm/v7 架构系统请使用 https://hub.docker.com/r/pixman/pixman-armv7 镜像，自行修改后面使用方法里的 pixman/pixman 为 pixman/pixman-armv7 Docker 安装方法：https://docs.docker.com/engine/install/ [...] 当需要更新镜像时，可以使用以下命令： # 停止并删除目前正在运行的容器 docker compose down # 拉取最新的镜像 docker compose pull # 运行最新的镜像 docker compose up -d 支持的命令 # 清理缓存 docker exec pixman sh -c 'flask clean_cache' # 更新 mytvsuper_tivimate.m3u 文件 docker exec pixman sh -c 'flask mytvsuper_tivimate' [...] Beesport 直播源 (http://ip:port/beesport.m3u) https://pixman.io/topics/33 中国移动 iTV 平台 (http://ip:port/itv.m3u 或 http://ip:port/itv_proxy.m3u) https://pixman.io/topics/37 https://pixman.io/topics/39
exo: Run your own AI cluster at home with everyday devices. Maintained by https://x.com/exolabs_. [...] Forget expensive NVIDIA GPUs, unify your existing devices into one powerful GPU: iPhone, iPad, Android, Mac, Linux, pretty much any device! Update: Exo Supports Llama 3.1 #update-exo-supports-llama-31 Now the default models, run 8B, 70B and 405B parameter models on your own devices https://github.com/exo-explore/exo/blob/main/exo/inference/mlx/models/sharded_llama.py exo is experimental software. [...] The native way to access models running on exo is using the exo library with peer handles.
更新时间：2024-07-21 13:34:23 固定通用地址，随机转发到下方任一地址,你只需要猛击Active🤡。 https://jetbrains.asiones.com/api/oneCopy http://35.188.104.230:443 http://51.140.137.126:8080 http://20.117.154.102:8080 http://157.143.254.66:8080 http://154.61.74.103:8081 http://158.193.143.121:8080 http://162.55.178.66:8181 https://licenses.cerebotani.it http://188.210.42.106:443 http://jetbrains-license.learning.casareal.co.jp http://150.254.115.186:8080 http://licenses.cerebotani.it https://jetbrains-license.learning.casareal.co.jp http://116.196.89.230:9002
base: is_dev : true serial_number : 1.0.0 service_name : shares service_displayname : sharesserver sercice_desc : shares微服务 tools_type: 4 # 0:正式环境,1:日分析,2:抓取消息,3:放量,4:放量监听 db_info: port : 3306 # 端口号 username : root # 用户名 host : localhost # 地址 password : 123456 # 密码 # host : localhost # password : qwer database : caoguo_dev # 数据库名 redis_info: addrs: ["127.0.0.1:6379"] password: 123456 group_name: oauth2 db: 0 etcd_info: addrs: ["127.0.0.1:2379"] timeout: 3 wx_info: app_id : wxxxxxxxxxxxx31a app_secret : xxxxxxxxxxxxxxxxxxxxxxxx api_key : xxxxxxxxxxxxxxxxxxx mch_id : xxxxxxxxx notify_url : http://www.localhost.com shear_url : port: 82 file_host: https://www.localhost.com/shares/api/v1 max_capacity : 5 def_group: 默认指标 ext : [sh,sz,hk]
为了加速镜像拉取，你可以使用以下命令设置 registry mirror: 为了避免 Worker 用量耗尽，你可以手动 pull 镜像然后 re-tag 之后 push 至本地镜像仓库: Powered by Cloudflare Workers
This book was created by @xiaolai with the help of ChatGPT and its TTS. The final work is available in https://github.com/xiaolai/most-common-american-idioms/blob/main/Most_Common_American_Idioms.html, and the audios can be played directly from the browser. The individual audio files are in the audio directory, and another version with combined files (every 10 idioms) is in the combined directory. Also, you can download a compiled version from https://pan.baidu.com/s/1zk9XrlIe26aELul2reXhIw?pwd=nqbj: https://pan.baidu.com/s/1zk9XrlIe26aELul2reXhIw?pwd=nqbj Moreover, you can use the https://1000h.org/enjoy-app/ from the https://1000h.org project to practice with the audio files from this book.
喜欢这个插件的小伙伴，可以给我的GITHUB项目 https://github.com/xcanwin/KeepChatGPT 点个⭐️STAR支持一下。 序号 截图 1 亮色主题 + 净化页面 https://github.com/xcanwin/KeepChatGPT/blob/main/assets/index_light.png 2 亮色主题 + 明察秋毫 + 展示大屏 + 日新月异 https://github.com/xcanwin/KeepChatGPT/blob/main/assets/chat_light.png 3 暗色主题 + 明察秋毫 + 展示大屏 + 日新月异 https://github.com/xcanwin/KeepChatGPT/blob/main/assets/chat_dark.png 4 移动端 + 净化页面 https://github.com/xcanwin/KeepChatGPT/blob/main/assets/index_mobile.png [...] If this issue persists please contact us through our help center at help.openai.com. [...] 打开Firefox > 右下角... > 附加组件 > 附加组件管理器 > Tampermonkey右边的+； 访问 https://chat.openai.com/chat； #使用方法-ios系统 [...] 紫色气泡 GPT4 模型 紫色气泡 + m GPT4 Mobile 模型 紫色气泡 + w GPT4 Web Browsing 模型 紫色气泡 + p GPT4 Plugins 模型 紫色气泡 + d GPT4 Code Interpreter 模型
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root@ubuntu:/home/qgb# docker pull hub-mirror.c.163.com/kuyoh/vcpkg:2023.12.12-ubuntu22.04 Error response from daemon: manifest for hub-mirror.c.163.com/kuyoh/vcpkg:2023.12.12-ubuntu22.04 not found: manifest unknown: manifest unknown Error response from daemon: manifest for mirror.baidubce.com/kuyoh/vcpkg:2023.12.12-ubuntu22.04 not found: manifest unknown: manifest unknown Error response from daemon: manifest for mirror.iscas.ac.cn/kuyoh/vcpkg:2023.12.12-ubuntu22.04 not found: manifest unknown: manifest unknown
https://github.com/jordanbaird/Ice/blob/main/Ice/Assets.xcassets/AppIcon.appiconset/icon_256x256.png Ice is a powerful menu bar management tool. While its primary function is hiding and showing menu bar items, it aims to cover a wide variety of additional features to make it one of the most versatile menu bar tools available. [...] "Always Hidden" menu bar section [...] Because your menu bar becomes like ice, allowing your menu bar items to slide away 🧊🧊🧊
It provides a simple and efficient way to monitor CPU and GPU usage, E-Cores and P-Cores, power consumption, and other system metrics directly from your terminal! Real-time CPU and GPU power usage display. Detailed metrics for different CPU clusters (E-Cores and P-Cores). [...] Example with flags sudo mactop --interval 1000 --color green --interval or -i: Set the powermetrics update interval in milliseconds. [...] #what-does-mactop-use-to-get-real-time-data sysctl: For CPU model information system_profiler: For GPU Core Count psutil: For memory and swap metrics powermetrics: For majority of CPU, GPU, Network, and Disk metrics
Marker converts PDF to markdown quickly and accurately. Supports a wide range of documents (optimized for books and scientific papers) [...] Here are some known limitations that are on the roadmap to address: Marker will not convert 100% of equations to LaTeX. [...] marker /path/to/input/folder /path/to/output/folder --workers 10 --max 10 --metadata_file /path/to/metadata.json --min_length 10000 --workers is the number of pdfs to convert at once. [...] Then run benchmark.py like this: python benchmark.py data/pdfs data/references report.json --nougat This will benchmark marker against other text extraction methods.
A self-hosted, easy-to-deploy RSS tool that allows you to aggregate multiple RSS feeds, apply custom filters, and generate AI summaries. The current version may contain bugs or incomplete features. [...] Apply custom filters to your feeds to control what content gets through or not. [...] You can set the filter scope to apply to filter out matched entries entirely or filter for summary generation only. Aggregate Multiple Feeds #2-aggregate-multiple-feeds Easily combine multiple RSS feeds into a single processed feed, even more powerful when used with custom filters.
This tool helps you download subtitles from YouTube. Simply input the YouTube URL below, and it will download the English subtitles (TXT version). If no subtitles are provided, it will default to downloading YouTube’s auto-generated subtitles(if available). If you find this tool useful, please consider bookmarking it or sharing it on social media. YouTube URL (it should be like https://www.youtube.com/watch?v=xxx or https://youtu.be/xxx):