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.

https://github.com/jianchang512/pyvideotrans/blob/main/README_EN.md / https://github.com/jianchang512/pyvideotrans/blob/main/about.md / Q群 905857759 / 微信公众号：搜一搜“ pyvideotrans ” 语音识别支持 faster-whisper模型 openai-whisper模型 和 GoogleSpeech zh_recogn阿里中文语音识别模型. [...] 文字合成语音支持 Microsoft Edge tts Google tts Azure AI TTS Openai TTS Elevenlabs TTS 自定义TTS服务器api GPT-SoVITS https://github.com/jianchang512/clone-voice 允许保留背景伴奏音乐等(基于uvr5) [...] 打开终端窗口，分别执行如下命令 brew install libsndfile brew install ffmpeg brew install git brew install python@3.12 [...] 终端中执行命令 git clone https://github.com/jianchang512/pyvideotrans 执行命令 cd pyvideotrans 继续执行 python -m venv venv 继续执行命令 source./venv/bin/activate，执行完毕查看确认终端命令提示符已变成已(venv)开头,以下命令必须确定终端提示符是以(venv)开头 执行 pip install -r requirements.txt --no-deps，如果提示失败，执行如下2条命令切换pip镜像到阿里镜像 pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/ pip config set install.trusted-host mirrors.aliyun.com 然后重新执行 如果已切换到阿里镜像源，仍提示失败，请尝试执行 pip install -r requirements.txt --ignore-installed --no-deps python sp.py 打开软件界面 https://pyvideotrans.com/mac.html

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https://github.com/sissbruecker/linkding Overview #installation #using-docker #using-docker-compose #user-setup #reverse-proxy-setup #managed-hosting-options #documentation #browser-extension #community #acknowledgements #development linkding is a bookmark manager that you can host yourself. [...] The name comes from: link which is often used as a synonym for URLs and bookmarks in common language [...] For security reasons, the linkding Docker image does not provide an initial user, so you have to create one after setting up an installation. [...] Browser Extension linkding comes with an official browser extension that allows to quickly add bookmarks, and search bookmarks through the browser's address bar.

https://xingangpan.github.io/ · https://ayushtewari.com/ · https://people.mpi-inf.mpg.de/~tleimkue/ · https://lingjie0206.github.io/ · https://www.meka.page/ · http://www.mpi-inf.mpg.de/~theobalt/ SIGGRAPH 2023 Conference Proceedings https://github.com/XingangPan/DragGAN/blob/main/DragGAN.gif https://pytorch.org/get-started/locally/ https://twitter.com/XingangP https://arxiv.org/abs/2305.10973 https://vcai.mpi-inf.mpg.de/projects/DragGAN/ https://colab.research.google.com/drive/1mey-IXPwQC_qSthI5hO-LTX7QL4ivtPh?usp=sharing [...] To start the DragGAN GUI, simply run: If you are using windows, you can run: This GUI supports editing GAN-generated images. [...] You can run DragGAN Gradio demo as well, this is universal for both windows and linux: python visualizer_drag_gradio.py [...] Any form of use and derivative of this code must preserve the watermarking functionality showing "AI Generated".

https://i1.wp.com/a16z.com/wp-content/uploads/2023/05/stacks_of_books_and_GPU.png?ssl=1Source: Midjourney Research in artificial intelligence is increasing at an exponential rate. [...] https://jalammar.github.io/illustrated-stable-diffusion/: Introduction to latent diffusion models, the most common type of generative AI model for images. [...] New models https://arxiv.org/abs/1706.03762 (2017): The original transformer work and research paper from Google Brain that started it all. [...] Code generation https://arxiv.org/abs/2107.03374 (2021): This is OpenAI’s research paper for Codex, the code-generation model behind the GitHub Copilot product.

Powered by open source tech Built at Google to scale YouTube.com to billions of users, Vitess is the world’s most scalable open source database. [...] Our team wants to focus on helping our customers meet their health and fitness goals, not the database servers.” [...] Make your PlanetScale data accessible across your organization by safely extracting and loading data from PlanetScale into other databases, such as BigQuery, Snowflake, or Redshift. Extract data to other sources Supports analytical workflows