🔥 Trending Repository: awesome-copilot
📝 Description: Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
🔗 Repository URL: https://github.com/github/awesome-copilot
📖 Readme: https://github.com/github/awesome-copilot#readme
📊 Statistics:
🌟 Stars: 8.6K stars
👀 Watchers: 151
🍴 Forks: 983 forks
💻 Programming Languages: JavaScript - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
🔗 Repository URL: https://github.com/github/awesome-copilot
📖 Readme: https://github.com/github/awesome-copilot#readme
📊 Statistics:
🌟 Stars: 8.6K stars
👀 Watchers: 151
🍴 Forks: 983 forks
💻 Programming Languages: JavaScript - Shell
🏷️ Related Topics:
#ai #github_copilot #prompt_engineering
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: dyad
📝 Description: Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!
🔗 Repository URL: https://github.com/dyad-sh/dyad
🌐 Website: https://dyad.sh
📖 Readme: https://github.com/dyad-sh/dyad#readme
📊 Statistics:
🌟 Stars: 15.2K stars
👀 Watchers: 86
🍴 Forks: 1.6K forks
💻 Programming Languages: TypeScript - JavaScript - CSS - Shell - HTML - Python
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!
🔗 Repository URL: https://github.com/dyad-sh/dyad
🌐 Website: https://dyad.sh
📖 Readme: https://github.com/dyad-sh/dyad#readme
📊 Statistics:
🌟 Stars: 15.2K stars
👀 Watchers: 86
🍴 Forks: 1.6K forks
💻 Programming Languages: TypeScript - JavaScript - CSS - Shell - HTML - Python
🏷️ Related Topics:
#github #react #typescript #nextjs #artificial_intelligence #gemini #openai #bolt #v0 #lovable #vercel #llm #llms #generative_ai #anthropic #ollama #qwen #deepseek #ai_app_builder
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: ubicloud
📝 Description: Open source alternative to AWS. Elastic compute, block storage (non replicated), firewall and load balancer, managed Postgres, K8s, AI inference, and IAM services.
🔗 Repository URL: https://github.com/ubicloud/ubicloud
🌐 Website: https://ubicloud.com
📖 Readme: https://github.com/ubicloud/ubicloud#readme
📊 Statistics:
🌟 Stars: 10.9K stars
👀 Watchers: 63
🍴 Forks: 496 forks
💻 Programming Languages: Ruby - HTML - JavaScript - Go - CSS - Dockerfile
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Open source alternative to AWS. Elastic compute, block storage (non replicated), firewall and load balancer, managed Postgres, K8s, AI inference, and IAM services.
🔗 Repository URL: https://github.com/ubicloud/ubicloud
🌐 Website: https://ubicloud.com
📖 Readme: https://github.com/ubicloud/ubicloud#readme
📊 Statistics:
🌟 Stars: 10.9K stars
👀 Watchers: 63
🍴 Forks: 496 forks
💻 Programming Languages: Ruby - HTML - JavaScript - Go - CSS - Dockerfile
🏷️ Related Topics:
#ruby #linux #kubernetes #opensource #cloud #portable #open #postgresql #hosting #bare_metal #github_actions #managed_cloud
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: gitea
📝 Description: Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD
🔗 Repository URL: https://github.com/go-gitea/gitea
🌐 Website: https://gitea.com
📖 Readme: https://github.com/go-gitea/gitea#readme
📊 Statistics:
🌟 Stars: 51.4K stars
👀 Watchers: 491
🍴 Forks: 6.2K forks
💻 Programming Languages: Go - Handlebars - TypeScript - CSS - JavaScript - Vue
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD
🔗 Repository URL: https://github.com/go-gitea/gitea
🌐 Website: https://gitea.com
📖 Readme: https://github.com/go-gitea/gitea#readme
📊 Statistics:
🌟 Stars: 51.4K stars
👀 Watchers: 491
🍴 Forks: 6.2K forks
💻 Programming Languages: Go - Handlebars - TypeScript - CSS - JavaScript - Vue
🏷️ Related Topics:
#github #git #go #golang #devops #gitlab #vue #bitbucket #gitea #git_server #cicd #hacktoberfest #npm_registry #git_gui #docker_registry_v2 #github_actions #maven_server
==================================
🧠 By: https://t.me/DataScienceM
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If you love tools that save time, money, and nerves — this is 100% for you.
This is an open-source panel on Python + Streamlit, packed with a whole arsenal of useful automations.
You open it — and it’s like gaining a superpower: doing everything faster.
What it can do:
🗞 News Reader — reads out current news.
And that’s just part of the list.
Why do you need this?
git clone https://github.com/Ai-Quill/automated.git
cd automated
pip install -r requirements.txt
streamlit run app.py
http://localhost:8501And enjoy the panel where all tools are just one click away.
#python #soft #github
https://t.me/DataScienceN
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Forwarded from Machine Learning with Python
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YOLO Training Template
Manual data labeling has become significantly more convenient. Now the process looks like in the usual labeling systems - you just outline the object with a frame and a bounding box is immediately created.
The platform allows:
• to upload your own dataset
• to label manually or auto-label via DINOv3
• to enrich the data if desired
• to train a #YOLO model on your own data
• to run inference immediately
• to export to ONNX or NCNN, which ensures compatibility with edge hardware and smartphones
All of this is available for free and can already be tested on #GitHub.
Repo:
https://github.com/computer-vision-with-marco/yolo-training-template
https://t.me/CodeProgrammer
Manual data labeling has become significantly more convenient. Now the process looks like in the usual labeling systems - you just outline the object with a frame and a bounding box is immediately created.
The platform allows:
• to upload your own dataset
• to label manually or auto-label via DINOv3
• to enrich the data if desired
• to train a #YOLO model on your own data
• to run inference immediately
• to export to ONNX or NCNN, which ensures compatibility with edge hardware and smartphones
All of this is available for free and can already be tested on #GitHub.
Repo:
https://github.com/computer-vision-with-marco/yolo-training-template
https://t.me/CodeProgrammer
❤1
🔥 Trending Repository: gitbutler
📝 Description: The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte
🔗 Repository URL: https://github.com/gitbutlerapp/gitbutler
🌐 Website: https://gitbutler.com
📖 Readme: https://github.com/gitbutlerapp/gitbutler#readme
📊 Statistics:
🌟 Stars: 17.7K stars
👀 Watchers: 47
🍴 Forks: 768 forks
💻 Programming Languages: Rust - Svelte - TypeScript - Shell - CSS - JavaScript
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte
🔗 Repository URL: https://github.com/gitbutlerapp/gitbutler
🌐 Website: https://gitbutler.com
📖 Readme: https://github.com/gitbutlerapp/gitbutler#readme
📊 Statistics:
🌟 Stars: 17.7K stars
👀 Watchers: 47
🍴 Forks: 768 forks
💻 Programming Languages: Rust - Svelte - TypeScript - Shell - CSS - JavaScript
🏷️ Related Topics:
#github #git #tauri
==================================
🧠 By: https://t.me/DataScienceM
🔥 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:
==================================
🧠 By: https://t.me/DataScienceM
📝 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
==================================
🧠 By: https://t.me/DataScienceM
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Forwarded from Machine Learning with Python
SVFR — a full-fledged framework for restoring faces in videos.
It can:
Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source.
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 damageAn ideal tool if:
#python #soft #github
https://t.me/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:
For other platforms like Codex, Copilot, or Qwen Code, use equivalent commands. Once installed, run the setup:
Key features include:
* 🤔
* 📋
* 🔄
The plugin is suitable for developers looking to streamline their workflow and improve productivity. 🚀
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://t.me/GithubRe
#CompoundEngineering #Plugin #DevTools #Coding #Productivity #GitHub
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🔗 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 learningsThe 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://t.me/GithubRe
#CompoundEngineering #Plugin #DevTools #Coding #Productivity #GitHub
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A