openskyml (OpenSky)

posted an update about 2 months ago

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245

Hi everyone,

I've created a Gradio space for embedding and extracting invisible watermarks in images:
👉 eienmojiki/blind-watermark-studio

It supports hiding text, images, and bit arrays using the DWT-DCT-SVD algorithm.

Credits:
- Original library: https://github.com/guofei9987/blind_watermark
- Author: Guo Fei

:).

adamm-hf

posted an update 9 months ago

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The #1 trending AI/ML dataset today 🏆

Massive scale, diversity and end-to-end potential from nvidia !
nvidia/PhysicalAI-Autonomous-Vehicles

adamm-hf

posted an update 9 months ago

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878

The new King 👑has arrived!

Moonshot AI now the top model on Hugging Face 🔥
moonshotai/Kimi-K2-Thinking

adamm-hf

posted an update 9 months ago

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💸🤑You don’t need 100 GPUs to train something amazing!

Our Smol Training Playbook teaches you a better path to world-class LLMs, for free!

Check out the #1 trending space on 🤗 :
HuggingFaceTB/smol-training-playbook

adamm-hf

posted an update 10 months ago

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2390

Cool stuff these past weeks on huggingface! 🤗 🚀 !
• 📈Trackio, local-first W&B alternative
https://github.com/gradio-app/trackio/issues
• 🌍EmbeddingGemma, 300M-param, multilingual embeddings, on-device
https://huggingface.co/blog/embeddinggemma
• 💻Open LLMs in VS Code (Inference Providers)
https://x.com/reach_vb/status/1966185427582497171
• 🤖Smol2Operator GUI agents
https://huggingface.co/blog/smol2operator
• 🖼️Gradio visible watermarking
https://huggingface.co/blog/watermarking-with-gradio

ehristoforu

posted an update 11 months ago

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2707

🚀Hello from the Project Fluently team!

✨ We are happy to share with you our new universal LLM models based on Qwen3 1.7B and 4B — powerful, multilingual and ready to solve a wide range of problems!

🛠️ We have conducted additional training and carefully merged them to achieve even better results and maximize the potential of the models.

🆓 And most importantly — the models are completely open and free under the Apache-2.0 license!

🔗 Links to repositories:
- FluentlyQwen3-4B: fluently/FluentlyQwen3-4B
- FluentlyQwen3-1.7B: fluently/FluentlyQwen3-1.7B

😍 We will be very glad to hear your feedback and impressions! Your opinion is very important to us!

1024m

authored 2 papers about 1 year ago

Query Attribute Modeling: Improving search relevance with Semantic Search and Meta Data Filtering

Paper • 2508.04683 • Published Aug 6, 2025

DSBC : Data Science task Benchmarking with Context engineering

Paper • 2507.23336 • Published Jul 31, 2025 • 2

zamal

posted an update about 1 year ago

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4359

Hey all
Finally it's happening. DeepGit lite is back now, running on cpu only devices. Just smartly search across Github and spin up conversational agents in the background and have grounded conversation with repositories
Try it out now!!!! zamal/DeepGit

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zamal

posted an update about 1 year ago

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1671

Say hallo to GermaNER 💪– a lightweight, high-accuracy NER model for German texts, powered by XLM-RoBERTa + LoRA adapters!
⚡ Fast, efficient, and open-source – perfect for tagging names, places & orgs in real-world German data.
Try it now on Hugging Face 👉 fau/GermaNER

zamal

posted an update about 1 year ago

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4452

🚀 Videoxity is live on Hugging Face! 🎞️
A powerful, modular toolkit for intelligent video manipulation and scene editing.

With Videoxity, you can:

🖼️ Auto-caption keyframes with BLIP

🧠 Filter scenes using natural language (e.g. “remove dog scenes”)

✂️ Seamlessly trim videos with FFmpeg

📊 Generate frame-based summaries

Powered by Groq LLM + LangChain, OpenCV, BLIP, and SentenceTransformers, Videoxity bridges vision and language to give developers full control over video content.
🔧 Built for developers. Feedback welcome!

👉 Try it out here fau/videoxity

1024m

authored a paper about 1 year ago

Uncovering Cultural Representation Disparities in Vision-Language Models

Paper • 2505.14729 • Published May 20, 2025 • 1

1024m

authored 3 papers over 1 year ago

Robust and Fine-Grained Detection of AI Generated Texts

Paper • 2504.11952 • Published Apr 16, 2025 • 12

Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance

Paper • 2504.09753 • Published Apr 13, 2025 • 6

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation

Paper • 2504.07072 • Published Apr 9, 2025 • 9

zamal

posted an update over 1 year ago

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2003

🚀 DeepGit Lite is live! 🔍✨

Hey folks!
Just launched DeepGit Lite — a lighter version of DeepGit with fewer components under the hood.
It won’t perform quite like the full powerhouse, but it’s great for a quick peek and first-hand feel! ⚙️👀

Give it a spin and tell us what you think!
👉 Try it here https://huggingface.co/spaces/zamal/DeepGit-lite
#opensource #DeepGit #gradio #githubresearch

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zamal

posted an update over 1 year ago

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DeepGit: Your GitHub Gold Digger! 💰🚀
Hey Hugging Face gang! Meet DeepGit—my open-source sidekick that rips through GitHub to snag repos that fit you. Done with dead-end searches? Me too. Built it with LangGraph and some dope tricks:
Embeddings grab the good stuff (HF magic, baby!)

Re-ranking nails the best picks

Snoops docs, code, and buzz in one slick flow

Drops a clean list of hidden gems 💎

Unearth that sneaky ML lib or Python gem—run python app.py or langgraph dev and boom! Peek it at https://github.com/zamalali/DeepGit. Fork it, tweak it, love it—Docker’s in, HF vibes are strong. Drop a 🌟 or a crazy idea—I’m pumped to jam with you all! 🪂

zamal

posted an update over 1 year ago

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2057

🚀 ftBoost is LIVE – Stop Struggling with Fine-Tuning Data!

Alright folks, if you’re tired of manually crafting fine-tuning datasets, ftBoost is here to do the heavy lifting. One-click, LangChain-Groq-powered data augmentation that scales your training data in OpenAI, Gemini, Mistral, and LLaMA formats—automatically.

🔥 What’s inside?
✅ Smart Augmentations – Paraphrasing, back translation, synonym swapping & synthetic noise.
✅ No more JSONL headaches – Auto-formats everything for OpenAI, Gemini, Mistral & LLaMA.
✅ Custom tuning – Adjust similarity, diversity, and fluency in real-time.
✅ Upload, generate, download – That’s it.

⚡ If you’re fine-tuning LLMs, this will save you hours.

🚀 Try it now: 👉 zamal/Finetune-Boost

🌟 Give us a star on GitHub!

Let me know what you think & how it boosts your workflow! 🔥

ehristoforu

posted an update over 1 year ago

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Introducing our first standalone model – FluentlyLM Prinum

Introducing the first standalone model from Project Fluently LM! We worked on it for several months, used different approaches and eventually found the optimal one.

General characteristics:
- Model type: Causal language models (QwenForCausalLM, LM Transformer)
- Number of parameters: 32.5B
- Number of parameters (not embedded): 31.0B
- Number of layers: 64
- Context: 131,072 tokens
- Language(s) (NLP): English, French, Spanish, Russian, Chinese, Japanese, Persian (officially supported)
- License: MIT

Creation strategy:
The basis of the strategy is shown in Pic. 2.
We used Axolotl & Unsloth for SFT-finetuning with PEFT LoRA (rank=64, alpha=64) and Mergekit for SLERP and TIES mergers.

Evolution:
🏆 12th place in the Open LLM Leaderboard ( open-llm-leaderboard/open_llm_leaderboard) (21.02.2025)

Detailed results and comparisons are presented in Pic. 3.

Links:
- Model: https://huggingface.co/fluently-lm/FluentlyLM-Prinum
- GGUF version: mradermacher/FluentlyLM-Prinum-GGUF
- Demo on ZeroGPU: ehristoforu/FluentlyLM-Prinum-demo

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zamal

posted an update over 1 year ago

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652

🚀 Try Out RAG Demo! 🚀

A Hugging Face Space where you can compare DeepSeek-R1 vs Llama-3 using Stuff RAG (Retrieval-Augmented Generation)!

🔍 Upload a PDF, ask questions, and see how both models perform in real-time!

Try out now:
zamal/Deepseek-R1-vs-LLama3

1 reply

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