Hyper Graph Reasoning
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Karsten Kuhnke PRO
mindchain
AI & ML interests
Industry Grade Humanoid Synthetic Motion Data Generation, Mechanistic Interpretability Data Generation, Sparse Autoencoders, Edge IOT, Gemma Scope 2, RLHF, Edge AI, Alpa SIM, Alpamayo-R1, Cosmos, Isaac SIM, Isaac LAB, GR00T N1.6, Unreal Engine
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1 day ago
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1801
Claude Code Self & Continual Learning
Hey everyone! 👋
30 GitHub Stars in 4 Days - Thank You!
I'm really grateful for the positive response to the Claude Reflect System. In just 4 days, 30 developers have shown interest by starring the project. Thank you so much!
What Is Claude Reflect?
Correct once, never again. Claude Reflect helps Claude Code remember your corrections and preferences across sessions. Instead of repeating the same feedback, the system learns and applies it automatically.
Main Features:
🧠 Learning System
- Detects corrections and preferences from conversations
- Stores them permanently in skill files
- Applies learnings in future sessions
🔒 Safety First
- Automatic backups before changes
- YAML validation
- Git version control
⚡ Two Modes
- Manual: Run /reflect when you want
- Auto: Reflects automatically at session end
How It Works
If you correct Claude to use pytest instead of unittest, this preference gets saved. Next time, Claude will remember and use pytest automatically. It's that simple.
Getting Started
1. Clone the repository
2. Install dependencies
3. Activate the skill
4. Try it out!
The python-project-creator example shows how the system learns from your feedback.
Give It a Try
https://github.com/haddock-development/claude-reflect-system
Feel free to check it out, give feedback, or contribute. Every bit of input helps improve the project!
Thank you so much for your support!
---
#ClaudeCode #AI #MachineLearning #ContinualLearning #OpenSource #Developer #Coding #Python #Productivity #DevTools #GitHub #SoftwareDevelopment #Programming #AIAssistant #DeveloperTools #CodeQuality #Tech
Feel free to give it a try by yourself.
https://github.com/haddock-development/claude-reflect-system
Hey everyone! 👋
30 GitHub Stars in 4 Days - Thank You!
I'm really grateful for the positive response to the Claude Reflect System. In just 4 days, 30 developers have shown interest by starring the project. Thank you so much!
What Is Claude Reflect?
Correct once, never again. Claude Reflect helps Claude Code remember your corrections and preferences across sessions. Instead of repeating the same feedback, the system learns and applies it automatically.
Main Features:
🧠 Learning System
- Detects corrections and preferences from conversations
- Stores them permanently in skill files
- Applies learnings in future sessions
🔒 Safety First
- Automatic backups before changes
- YAML validation
- Git version control
⚡ Two Modes
- Manual: Run /reflect when you want
- Auto: Reflects automatically at session end
How It Works
If you correct Claude to use pytest instead of unittest, this preference gets saved. Next time, Claude will remember and use pytest automatically. It's that simple.
Getting Started
1. Clone the repository
2. Install dependencies
3. Activate the skill
4. Try it out!
The python-project-creator example shows how the system learns from your feedback.
Give It a Try
https://github.com/haddock-development/claude-reflect-system
Feel free to check it out, give feedback, or contribute. Every bit of input helps improve the project!
Thank you so much for your support!
---
#ClaudeCode #AI #MachineLearning #ContinualLearning #OpenSource #Developer #Coding #Python #Productivity #DevTools #GitHub #SoftwareDevelopment #Programming #AIAssistant #DeveloperTools #CodeQuality #Tech
Feel free to give it a try by yourself.
https://github.com/haddock-development/claude-reflect-system
posted
an
update
1 day ago
Post
1801
Claude Code Self & Continual Learning
Hey everyone! 👋
30 GitHub Stars in 4 Days - Thank You!
I'm really grateful for the positive response to the Claude Reflect System. In just 4 days, 30 developers have shown interest by starring the project. Thank you so much!
What Is Claude Reflect?
Correct once, never again. Claude Reflect helps Claude Code remember your corrections and preferences across sessions. Instead of repeating the same feedback, the system learns and applies it automatically.
Main Features:
🧠 Learning System
- Detects corrections and preferences from conversations
- Stores them permanently in skill files
- Applies learnings in future sessions
🔒 Safety First
- Automatic backups before changes
- YAML validation
- Git version control
⚡ Two Modes
- Manual: Run /reflect when you want
- Auto: Reflects automatically at session end
How It Works
If you correct Claude to use pytest instead of unittest, this preference gets saved. Next time, Claude will remember and use pytest automatically. It's that simple.
Getting Started
1. Clone the repository
2. Install dependencies
3. Activate the skill
4. Try it out!
The python-project-creator example shows how the system learns from your feedback.
Give It a Try
https://github.com/haddock-development/claude-reflect-system
Feel free to check it out, give feedback, or contribute. Every bit of input helps improve the project!
Thank you so much for your support!
---
#ClaudeCode #AI #MachineLearning #ContinualLearning #OpenSource #Developer #Coding #Python #Productivity #DevTools #GitHub #SoftwareDevelopment #Programming #AIAssistant #DeveloperTools #CodeQuality #Tech
Feel free to give it a try by yourself.
https://github.com/haddock-development/claude-reflect-system
Hey everyone! 👋
30 GitHub Stars in 4 Days - Thank You!
I'm really grateful for the positive response to the Claude Reflect System. In just 4 days, 30 developers have shown interest by starring the project. Thank you so much!
What Is Claude Reflect?
Correct once, never again. Claude Reflect helps Claude Code remember your corrections and preferences across sessions. Instead of repeating the same feedback, the system learns and applies it automatically.
Main Features:
🧠 Learning System
- Detects corrections and preferences from conversations
- Stores them permanently in skill files
- Applies learnings in future sessions
🔒 Safety First
- Automatic backups before changes
- YAML validation
- Git version control
⚡ Two Modes
- Manual: Run /reflect when you want
- Auto: Reflects automatically at session end
How It Works
If you correct Claude to use pytest instead of unittest, this preference gets saved. Next time, Claude will remember and use pytest automatically. It's that simple.
Getting Started
1. Clone the repository
2. Install dependencies
3. Activate the skill
4. Try it out!
The python-project-creator example shows how the system learns from your feedback.
Give It a Try
https://github.com/haddock-development/claude-reflect-system
Feel free to check it out, give feedback, or contribute. Every bit of input helps improve the project!
Thank you so much for your support!
---
#ClaudeCode #AI #MachineLearning #ContinualLearning #OpenSource #Developer #Coding #Python #Productivity #DevTools #GitHub #SoftwareDevelopment #Programming #AIAssistant #DeveloperTools #CodeQuality #Tech
Feel free to give it a try by yourself.
https://github.com/haddock-development/claude-reflect-system
reacted to
branikita's
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1 day ago
Post
2154
Our engineer Alan from https://robonine.com team has assembled the mechanical frame of our 6-DoF manipulator prototype - without servo motors for now. At this stage we are evaluating how easy the structure is to assemble, checking for any mechanical play, and validating the kinematics.
Good news: the structure feels solid and Alan reports no detectable backlash so far.
Good news: the structure feels solid and Alan reports no detectable backlash so far.
upvoted
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1 day ago
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1 day ago
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1641
We are happy to share the VERSE Methodology paper via arXiv! 📃💫
VERSE: Visual Embedding Reduction and Space Exploration. Clustering-Guided Insights for Training Data Enhancement in Visually-Rich Document Understanding (2601.05125)
We usually train VLMs on visual synthetic data that we (as humans) label as photorealistic. We argue that this is an anthropocentric perspective imposed to a model that might not synthetize visual information as we do. VERSE helps to visualize latent space and overlay visual features to detect poor-performance regions and take action to include better-suited training sets to boost model performance.
Resources:
- Code: https://github.com/nachoDRT/VrDU-Doctor
- Hugging Face Space: de-Rodrigo/Embeddings
Want to collaborate? Do you have any feedback? 🧐
PD: As always, we are grateful to Hugging Face 🤗 for providing the fantastic tools and resources we find on the platform!
VERSE: Visual Embedding Reduction and Space Exploration. Clustering-Guided Insights for Training Data Enhancement in Visually-Rich Document Understanding (2601.05125)
We usually train VLMs on visual synthetic data that we (as humans) label as photorealistic. We argue that this is an anthropocentric perspective imposed to a model that might not synthetize visual information as we do. VERSE helps to visualize latent space and overlay visual features to detect poor-performance regions and take action to include better-suited training sets to boost model performance.
Resources:
- Code: https://github.com/nachoDRT/VrDU-Doctor
- Hugging Face Space: de-Rodrigo/Embeddings
Want to collaborate? Do you have any feedback? 🧐
PD: As always, we are grateful to Hugging Face 🤗 for providing the fantastic tools and resources we find on the platform!
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