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🔥 Trending Repository: gh-aw

📝 Description: GitHub Agentic Workflows

🔗 Repository URL: https://github.com/github/gh-aw

🌐 Website: https://gh.io/gh-aw

📖 Readme: https://github.com/github/gh-aw#readme

📊 Statistics:
🌟 Stars: 609 stars
👀 Watchers: 4
🍴 Forks: 65 forks

💻 Programming Languages: Go - JavaScript - Shell

🏷️ Related Topics:
#ci #actions #copilot #codex #cai #github_actions #gh_extension #claude_code


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🧠 By: https://xn--r1a.website/DataScienceM
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⚡️ Colorizing old black-and-white videos and "bringing faces to life" for FREE

SVFR — a full-fledged framework for restoring faces in videos.

It can:
💬 BFR — improve blurry faces.
💬 Colorization — colorize black-and-white videos.
💬 Inpainting — redraw damaged areas.
💬 and combine all of this in one pass.

Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source.

⚙️ Installation locally:

1. Create an environment

conda create -n svfr python=3.9 -y
conda activate svfr


2. Install PyTorch (for your CUDA)

pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2


3. Install dependencies

pip install -r requirements.txt


4. Download models

conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt


5. Start processing videos

python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region


Where task_ids:

* 0 — face enhancement
* 1 — colorization
* 2 — redrawing damage

An ideal tool if:
🟢you're restoring archival videos;
🟢you're creating historical content;
🟢you're working with neural networks and video effects;
🟢you want a wow result without paid services.

▶️ Demo on Hugging Face

♎️ GitHub/Instructions

#python #soft #github

https://xn--r1a.website/CodeProgrammer
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💡 EveryInc/compound-engineering-plugin just hit the trending charts — here's why it matters. 📈

🔗 https://github.com/EveryInc/compound-engineering-plugin
📝 Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more

──────────────────────────────

The compound-engineering-plugin is designed to make each unit of engineering work easier than the last. 🛠️ It inverts traditional development by focusing 80% on planning and review, and 20% on execution. The plugin provides 37 skills and 51 agents to help with tasks such as brainstorming, planning, coding, reviewing, and compounding knowledge. 🧠

To use the plugin, start by installing it using the following commands:

/plugin marketplace add EveryInc/compound-engineering-plugin
/plugin install compound-engineering

For other platforms like Codex, Copilot, or Qwen Code, use equivalent commands. Once installed, run the setup:

/ce-setup

Key features include:
* 🤔 /ce-brainstorm for interactive Q&A
* 📋 /ce-plan for turning ideas into implementation plans
* 🔄 /ce-compound for documenting learnings

The plugin is suitable for developers looking to streamline their workflow and improve productivity. 🚀

/ce-strategy, /ce-ideate, /ce-brainstorm, /ce-plan, /ce-work, /ce-debug, /ce-code-review, /ce-compound

These skills work together to create a cyclical workflow that sharpens plans, informs future plans, and catches issues.

💡 Takeaway: With the compound-engineering-plugin, each unit of work makes the next one easier, not harder.

──────────────────────────────

🧠 Channel: https://xn--r1a.website/GithubRe

#CompoundEngineering #Plugin #DevTools #Coding #Productivity #GitHub

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#GitHub #DevCommunity #OpenSource #Programming #SoftwareEngineering #CareerGrowth

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