social-post-explorers (Social Post Explorers)

zamal

posted an update about 23 hours ago

Post

926

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! 🪂

freddyaboulton

posted an update 7 days ago

Post

1269

Ever wanted to share your AI creations with friends? ✨

Screenshots are fine, but imagine letting others play with your ACTUAL model!

Introducing Gradio deep links 🔗 - now you can share interactive AI apps, not just images.

Add a gr.DeepLinkButton to any app and get shareable URLs that let ANYONE experiment with your models.

dylanebert

posted an update 8 days ago

Post

2881

You now have the option to filter 3D Arena to open source models.

dylanebert/3d-arena

1 reply

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as-cle-bert

posted an update 9 days ago

Post

594

Drowning in handouts, documents and presentations from your professors and not knowing where to start?🌊😵‍💫
Well, I might have a tool for you: 𝐏𝐝𝐟𝟐𝐍𝐨𝐭𝐞𝐬 (https://github.com/AstraBert/pdf2notes) is an 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱, 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 solution that lets you turn your unstructured and chaotic PDFs into nice and well-ordered notes in a matter of seconds!📝

𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸?
📄 You first upload a document
⚙️ LlamaParse by LlamaIndex extracts the text from the document, using DeepMind's Gemini 2 Flash to perform multi-modal parsing
🧠 Llama-3.3-70B by Groq turns the extracted text into notes!

The notes are not perfect or you want more in-depth insights? No problem:
💬 Send a direct message to the chatbot
⚙️ The chatbot will retrieve the chat history from a Postgres database
🧠 Llama-3.3-70B will produce the answer you need

All of this is nicely wrapped within a seamless backend-to-frontend framework powered by Gradio and FastAPI🎨

And you can even spin it up easily and locally, using Docker🐋

So, what are you waiting for? Go turn your hundreds of pages of chaotic learning material into neat and elegant notes ➡️ https://github.com/AstraBert/pdf2notes

And, if you would like an online demo, feel free to drop a comment - we'll see what we can build🚀

dylanebert

posted an update 14 days ago

Post

1594

Impressive new Image-to-3D model from Tencent!

Here's how the topology (left) compares to the open source state-of-the-art (right)

(using the Simplify option for reduced poly count)

Try it out here: tencent/Hunyuan3D-2mv

mlabonne

posted an update 14 days ago

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7225

✂️ AutoAbliteration

I made a Colab notebook to automatically abliterate models.

It's quite general, so you can do interesting stuff like blocking a given language in the model outputs.

💻 Colab: https://colab.research.google.com/drive/1RmLv-pCMBBsQGXQIM8yF-OdCNyoylUR1?usp=sharing

mlabonne

posted an update 15 days ago

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6044

✂️ Gemma 3 Abliterated

I noticed that Gemma 3 was much more resilient to refusal removal than other models like Qwen 2.5.

I experimented with different recipes and improved the abliteration technique I wrote about last year.

It's still experimental but the refusal rate is super low in my tests. Enjoy!

mlabonne/gemma-3-4b-it-abliterated
mlabonne/gemma-3-12b-it-abliterated
mlabonne/gemma-3-27b-it-abliterated

1 reply

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sayakpaul

authored a paper 18 days ago

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation

Paper • 2503.09641 • Published 21 days ago • 29

as-cle-bert

posted an update 21 days ago

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1674

𝐑𝐀𝐆𝐜𝐨𝐨𝐧🦝 - 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝 𝐲𝐨𝐮𝐫 𝐬𝐭𝐚𝐫𝐭𝐮𝐩

GitHub 👉 https://github.com/AstraBert/ragcoon

Are you building a startup and you're stuck in the process, trying to navigate hundreds of resources, suggestions and LinkedIn posts?😶‍🌫️
Well, fear no more, because 𝗥𝗔𝗚𝗰𝗼𝗼𝗻🦝 is here to do some of the job for you:

📃 It's built on free resources written by successful founders
⚙️ It performs complex retrieval operations, exploiting "vanilla" hybrid search, query expansion with an 𝗵𝘆𝗽𝗼𝘁𝗵𝗲𝘁𝗶𝗰𝗮𝗹 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 approach and 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗲𝗽 𝗾𝘂𝗲𝗿𝘆 𝗱𝗲𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻
📊 It evaluates the 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 of the retrieved context, and the 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝘆 and 𝗳𝗮𝗶𝘁𝗵𝗳𝘂𝗹𝗻𝗲𝘀𝘀 of its own responses, in an auto-correction effort

RAGcoon🦝 is 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 and relies on easy-to-use components:

🔹LlamaIndex is at the core of the agent architecture, provisions the integrations with language models and vector database services, and performs evaluations
🔹 Qdrant is your go-to, versatile and scalable companion for vector database services
🔹Groq provides lightning-fast LLM inference to support the agent, giving it the full power of 𝗤𝘄𝗤-𝟯𝟮𝗕 by Qwen
🔹Hugging Face provides the embedding models used for dense and sparse retrieval
🔹FastAPI wraps the whole backend into an API interface
🔹𝗠𝗲𝘀𝗼𝗽 by Google is used to serve the application frontend

RAGcoon🦝 can be spinned up locally - it's 𝗗𝗼𝗰𝗸𝗲𝗿-𝗿𝗲𝗮𝗱𝘆🐋, and you can find the whole code to reproduce it on GitHub 👉 https://github.com/AstraBert/ragcoon

But there might be room for an online version of RAGcoon🦝: let me know if you would use it - we can connect and build it together!🚀

freddyaboulton

posted an update 21 days ago

Post

1897

Privacy matters when talking to AI! 🔇

We've just added a microphone mute button to FastRTC in our latest update (v0.0.14). Now you control exactly what your LLM hears.

Plus lots more features in this release! Check them out:
https://github.com/freddyaboulton/fastrtc/releases/tag/0.0.14

MrDragonFox

in social-post-explorers/README 26 days ago

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7

#46 opened 27 days ago by

Blazgo

as-cle-bert

posted an update 26 days ago

Post

2713

I just released a fully automated evaluation framework for your RAG applications!📈

GitHub 👉 https://github.com/AstraBert/diRAGnosis
PyPi 👉 https://pypi.org/project/diragnosis/

It's called 𝐝𝐢𝐑𝐀𝐆𝐧𝐨𝐬𝐢𝐬 and is a lightweight framework that helps you 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗲 𝘁𝗵𝗲 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗼𝗳 𝗟𝗟𝗠𝘀 𝗮𝗻𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝘀 𝗶𝗻 𝗥𝗔𝗚 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀.

You can launch it as an application locally (it's Docker-ready!🐋) or, if you want more flexibility, you can integrate it in your code as a python package📦

The workflow is simple:
🧠 You choose your favorite LLM provider and model (supported, for now, are Mistral AI, Groq, Anthropic, OpenAI and Cohere)
🧠 You pick the embedding models provider and the embedding model you prefer (supported, for now, are Mistral AI, Hugging Face, Cohere and OpenAI)
📄 You prepare and provide your documents
⚙️ Documents are ingested into a Qdrant vector database and transformed into a synthetic question dataset with the help of LlamaIndex
📊 The LLM is evaluated for the faithfulness and relevancy of its retrieval-augmented answer to the questions
📊 The embedding model is evaluated for hit rate and mean reciprocal ranking (MRR) of the retrieved documents

And the cool thing is that all of this is 𝗶𝗻𝘁𝘂𝗶𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱: you plug it in, and it works!🔌⚡

Even cooler? This is all built on top of LlamaIndex and its integrations: no need for tons of dependencies or fancy workarounds🦙
And if you're a UI lover, Gradio and FastAPI are there to provide you a seamless backend-to-frontend experience🕶️

So now it's your turn: you can either get diRAGnosis from GitHub 👉 https://github.com/AstraBert/diRAGnosis
or just run a quick and painless:

uv pip install diragnosis

To get the package installed (lightning-fast) in your environment🏃‍♀️

Have fun and feel free to leave feedback and feature/integrations requests on GitHub issues✨

kramp

in social-post-explorers/README 26 days ago

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7

#46 opened 27 days ago by

Blazgo

zamal

posted an update about 1 month ago

Post

1984

🚀 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! 🔥

dylanebert

posted an update about 1 month ago

Post

1189

📢 New #1 in Generative 3D

CSM/Cube from Common Sense Machines is now the top ranked image-to-3d model

check out the results in dylanebert/3d-arena

freddyaboulton

posted an update about 1 month ago

Post

3215

Getting WebRTC and Websockets right in python is very tricky. If you've tried to wrap an LLM in a real-time audio layer then you know what I'm talking about.

That's where FastRTC comes in! It makes WebRTC and Websocket streams super easy with minimal code and overhead.

Check out our org: hf.co/fastrtc

MrOvkill

posted an update about 1 month ago

Post

2292

Hello!

I was just playing around with Python's MIDI library and Colab's code generation, accidentally cooked up a quick n' dirty audio synthesis template.
Have fun!

https://colab.research.google.com/drive/1d-AF6jygCwmoJvAa9nnEMe5ROidnMJNY?usp=sharing

-<3

3 replies

·

as-cle-bert

posted an update about 1 month ago

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2394

I built an AI agent app in less than 8 hours🤯
And, believe me, this is 𝗻𝗼𝘁 clickbait❌

GitHub 👉 https://github.com/AstraBert/PapersChat
Demo 👉 as-cle-bert/PapersChat

The app is called 𝐏𝐚𝐩𝐞𝐫𝐬𝐂𝐡𝐚𝐭, and it is aimed at 𝗺𝗮𝗸𝗶𝗻𝗴 𝗰𝗵𝗮𝘁𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗽𝗮𝗽𝗲𝗿𝘀 𝗲𝗮𝘀𝗶𝗲𝗿.

𝐇𝐞𝐫𝐞 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐭𝐡𝐞 𝐚𝐩𝐩 𝐝𝐨𝐞𝐬:

📄 Parses the papers that you upload thanks to LlamaIndex🦙 (either with LlamaParse or with simpler, local methods)
📄 Embeds documents both with a sparse and with a dense encoder to enable hybrid search
📄 Uploads the embeddings to Qdrant
⚙️ Activates an Agent based on mistralai/Mistral-Small-24B-Instruct-2501 that will reply to your prompt
🧠 Retrieves information relevant to your question from the documents
🧠 If no relevant information is found, it searches PubMed and arXiv databases
🧠 Returns a grounded answer to your prompt

𝐇𝐨𝐰 𝐝𝐢𝐝 𝐈 𝐦𝐚𝐧𝐚𝐠𝐞 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐭𝐡𝐢𝐬 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝟖 𝐡𝐨𝐮𝐫𝐬?

Three key points:

- LlamaIndex🦙 provides countless integrations with LLM providers, text embedding models and vectorstore services, and takes care of the internal architecture of the Agent. You just plug it in, and it works!🔌⚡
- Qdrant is a vector database service extremely easy to set up and use: you just need a one-line Docker command😉
- Gradio makes frontend development painless and fast, while still providing modern and responsive interfaces🏗️

And a bonus point:

- Deploying the demo app couldn't be easier if you use Gradio-based Hugging Face Spaces🤗

So, no more excuses: build your own AI agent today and do it fast, (almost) for free and effortlessly🚀

And if you need a starting point, the code for PapersChat is open and fully reproducible on GitHub 👉 https://github.com/AstraBert/PapersChat

sayakpaul

posted an update about 1 month ago

Post

3339

Inference-time scaling meets Flux.1-Dev (and others) 🔥

Presenting a simple re-implementation of "Inference-time scaling diffusion models beyond denoising steps" by Ma et al.

I did the simplest random search strategy, but results can potentially be improved with better-guided search methods.

Supports Gemini 2 Flash & Qwen2.5 as verifiers for "LLMGrading" 🤗

The steps are simple:

For each round:

1> Starting by sampling 2 starting noises with different seeds.
2> Score the generations w.r.t a metric.
3> Obtain the best generation from the current round.

If you have more compute budget, go to the next search round. Scale the noise pool (2 ** search_round) and repeat 1 - 3.

This constitutes the random search method as done in the paper by Google DeepMind.

Code, more results, and a bunch of other stuff are in the repository. Check it out here: https://github.com/sayakpaul/tt-scale-flux/ 🤗

as-cle-bert

posted an update about 2 months ago

Post

1399

𝐒𝐜𝐢𝐍𝐞𝐰𝐬𝐁𝐨𝐭 - 𝐑𝐞𝐩𝐨𝐫𝐭 𝐝𝐚𝐢𝐥𝐲 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐧𝐞𝐰𝐬 𝐨𝐧 𝐁𝐥𝐮𝐞𝐒𝐤𝐲

GitHub 👉 https://github.com/AstraBert/SciNewsBot
BlueSky 👉 https://bsky.app/profile/sci-news-bot.bsky.social

Hi there HF Community!🤗
I just created a very simple AI-powered bot that shares fact-checked news about Science, Environment, Energy and Technology on BlueSky :)

The bot takes news from Google News, filters out the sources that are not represented in the Media Bias Fact Check database, and then evaluates the reliability of the source based on the MBFC metrics. After that, it creates a catchy headline for the article and publishes the post on BlueSky📰

The cool thing? SciNewsBot is open-source and is cheap to maintain, as it is based on mistralai/Mistral-Small-24B-Instruct-2501 (via Mistral API). You can reproduce it locally, spinning it up on your machine, and even launch it on cloud through a comfy Docker setup🐋

Have fun and spread Science!✨

Social Post Explorers

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SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation

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AI & ML interests

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