CVPR (CVPR Demo Track)

posted an update 1 day ago

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151

Need a new challenging Dataset? Now that #NeurIPS2025 is almost over.

DavidVivancos/NeuraxonLife2-1M

1 Million #Neuraxon Artificial Lives, from almost 10000 Research Game runs, with more than 21 Million Neurons and almost 4 years of Simulated Life.

Read the preprint here https://www.researchgate.net/publication/397331336_Neuraxon

And here you have all the code: https://github.com/DavidVivancos/Neuraxon

yumingj

authored a paper 14 days ago

RynnVLA-002: A Unified Vision-Language-Action and World Model

Paper • 2511.17502 • Published 16 days ago • 24

DavidVivancos

posted an update 21 days ago

Post

290

Hi all!,

Neuraxon Game of Life is also live in demo at HuggingFace
DavidVivancos/NeuraxonLife

Preprint Paper: https://www.researchgate.net/publication/397331336_Neuraxon

Source Code of the Research verision: https://github.com/DavidVivancos/Neuraxon

HuggingFace Models are in the oven!

Hope you like it!
@DavidVivancos

DavidVivancos

posted an update about 1 month ago

Post

971

Hi all!,

Neuraxon ( a novel Neural Growth & Computation Blueprint) is live in demo at HuggingFace DavidVivancos/Neuraxon

Paper: https://www.researchgate.net/publication/397331336_Neuraxon (on its way to arxiv too)

Code: https://github.com/DavidVivancos/Neuraxon

HuggingFace Model in the oven!

Hope you like it!
@DavidVivancos

2 replies

·

Yuliang

authored 3 papers about 2 months ago

gagan3012

authored a paper 2 months ago

Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models

Paper • 2510.06107 • Published Oct 7 • 2

Hancy

authored 5 papers 2 months ago

Towards Realistic Scene Generation with LiDAR Diffusion Models

Paper • 2404.00815 • Published Mar 31, 2024

GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

Paper • 2305.08808 • Published May 15, 2023

Learning Inner-Group Relations on Point Clouds

Paper • 2108.12468 • Published Aug 27, 2021

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Paper • 2202.07123 • Published Feb 15, 2022

Surface Representation for Point Clouds

Paper • 2205.05740 • Published May 11, 2022

yumingj

authored a paper 2 months ago

MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources

Paper • 2509.21268 • Published Sep 25 • 103

yumingj

authored a paper 3 months ago

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation

Paper • 2509.15212 • Published Sep 18 • 21

Abhaykoul

posted an update 3 months ago

Post

3104

🚀 Ever dreamed of training your own Large Language Model from scratch? What if I told you it doesn't require a supercomputer or PhD in ML? 🤯

Introducing LLM Trainer - the educational framework that makes LLM training accessible to EVERYONE! Whether you're on a CPU-only laptop or scaling to distributed GPUs, we've got you covered. 💻➡️🖥️

Why LLM Trainer? Because existing tools are either too simplistic (hiding the magic) or too complex (requiring expert knowledge). We bridge the gap with:

🎓 Educational transparency - every component built from scratch with clear code
💻 CPU-first approach - start training immediately, no GPU needed
🔧 Full customization - modify anything you want
📈 Seamless scaling - from laptop to cluster without code changes
🤝 HuggingFace integration - works with existing models & tokenizers

Key highlights:
✅ Built-in tokenizers (BPE, WordPiece, HF wrappers)
✅ Complete Transformer implementation from scratch
✅ Optimized for CPU training
✅ Advanced features: mixed precision, gradient checkpointing, multiple generation strategies
✅ Comprehensive monitoring & metrics

Perfect for:
- Students learning transformers
- Researchers prototyping new ideas
- Developers building domain-specific models

Ready to train your first LLM? It's easier than you think!

🔗 Check it out: https://github.com/HelpingAI/llm-trainer
📚 Docs: Getting Started Guide
💬 Join the community: GitHub Discussions

#AI #MachineLearning #LLM #DeepLearning #OpenSource #Python #HuggingFace #NLP

Special thanks to HuggingFace and PyTorch teams for the amazing ecosystem! 🙏

1 reply

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Abhaykoul

posted an update 4 months ago

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4133

🚀 Dhanishtha-2.0-preview-0825 Is Here

The Intermediate Thinking Model just leveled up again.

With sharper reasoning, better tool use, and expanded capabilities, Dhanishtha-2.0-preview-0825 is now live and ready to impress.

🧠 What Makes Dhanishtha Special?
Unlike typical CoT models that only thinks one time, Dhanishtha thinks iteratively:

> Think → Answer → Rethink → Improve → Rethink again if needed.

🔗 Try it now: HelpingAI/Dhanishtha-2.0-preview-0825

🔞 Dhanishtha NSFW Preview

For those exploring more expressive and immersive roleplay scenarios, we’re also releasing:

HelpingAI/Dhanishtha-nsfw
A specialized version tuned for adult-themed interactions and character-driven roleplay.

🔗 Explore it here: HelpingAI/Dhanishtha-nsfw

💬 You can also try all of these live at chat.helpingai.co

4 replies

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AtAndDev

posted an update 5 months ago

Post

562

Qwen 3 Coder is a personal attack to k2, and I love it.
It achieves near SOTA on LCB while not having reasoning.
Finally people are understanding that reasoning isnt necessary for high benches...

Qwen ftw!

DECENTRALIZE DECENTRALIZE DECENTRALIZE

ZhangYuanhan

authored a paper 5 months ago

Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding

Paper • 2507.15028 • Published Jul 20 • 21

Abhaykoul

posted an update 5 months ago

Post

3158

🎉 Dhanishtha-2.0-preview-0725 is Now Live

The Intermediate Thinking Model just got even better.
With the new update, Dhanishtha is now sharper, smarter, and trained further on tool use

🧠 What Makes Dhanishtha Different?
Unlike standard COT models that give one-shot responses, Dhanishtha thinks in layers:

> Think → Answer → Rethink → Improve → Rethink again if needed.

HelpingAI/Dhanishtha-2.0-preview-0725

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