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Victor Mustar PRO
victor
AI & ML interests
Building the UX of this website
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It should work as excepted now, if you can confirm :)
reacted to
fantos's
post with π₯
3 days ago
Post
3949
π HuggingFace Spaces Ranking Tracker - Your Complete AI Trend Analytics!
Introducing the Spaces Ranking Tracker, a comprehensive analytics dashboard that tracks and analyzes every AI application in the HuggingFace ecosystem.
β¨ Key Features:
β’ Real-time tracking of daily ranking changes over 30 days
β’ Detailed analysis of top 100 trending spaces
β’ User-based integrated score visualization
β’ One-click access to space details
β’ Interactive rank change graphs
π Dashboard Components:
1. Main Dashboard
- Daily rank trend graphs
- Top 20 creators' combined score chart
- Detailed space information cards
- Real-time trending score updates
2. Space Detailed Analysis
- Creation date, current rank, and trending score
- 30-day ranking history
- Direct space access
- Custom color coding for intuitive rank display
π― How to Use:
β’ Monitor latest AI community trends
β’ Track your project's performance
β’ Discover popular AI demos
β’ Analyze competing projects
β’ Follow AI ecosystem dynamics
3. Interactive Features
- Custom filtering options
- Sorting by various metrics
- Detailed performance statistics
- Comprehensive trending scores
- Historical data tracking
Stay on top of every movement in the HuggingFace ecosystem with daily ranking updates! π Try it now!
π Access Dashboard: fantos/Ranking-Tracker
#HuggingFace #AI #DataVisualization #TrendAnalysis #AITrends
Introducing the Spaces Ranking Tracker, a comprehensive analytics dashboard that tracks and analyzes every AI application in the HuggingFace ecosystem.
β¨ Key Features:
β’ Real-time tracking of daily ranking changes over 30 days
β’ Detailed analysis of top 100 trending spaces
β’ User-based integrated score visualization
β’ One-click access to space details
β’ Interactive rank change graphs
π Dashboard Components:
1. Main Dashboard
- Daily rank trend graphs
- Top 20 creators' combined score chart
- Detailed space information cards
- Real-time trending score updates
2. Space Detailed Analysis
- Creation date, current rank, and trending score
- 30-day ranking history
- Direct space access
- Custom color coding for intuitive rank display
π― How to Use:
β’ Monitor latest AI community trends
β’ Track your project's performance
β’ Discover popular AI demos
β’ Analyze competing projects
β’ Follow AI ecosystem dynamics
3. Interactive Features
- Custom filtering options
- Sorting by various metrics
- Detailed performance statistics
- Comprehensive trending scores
- Historical data tracking
Stay on top of every movement in the HuggingFace ecosystem with daily ranking updates! π Try it now!
π Access Dashboard: fantos/Ranking-Tracker
#HuggingFace #AI #DataVisualization #TrendAnalysis #AITrends
- 1 reply
reacted to
lewtun's
post with π₯
3 days ago
Post
9473
We are reproducing the full DeepSeek R1 data and training pipeline so everybody can use their recipe. Instead of doing it in secret we can do it together in the open!
π§ͺ Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.
π§ Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.
π₯ Step 3: show we can go from base model -> SFT -> RL via multi-stage training.
Follow along: https://github.com/huggingface/open-r1
π§ͺ Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.
π§ Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.
π₯ Step 3: show we can go from base model -> SFT -> RL via multi-stage training.
Follow along: https://github.com/huggingface/open-r1
- 5 replies
reacted to
clem's
post with π₯
3 days ago
Post
6654
AI is not a zero-sum game. Open-source AI is the tide that lifts all boats!
reacted to
fdaudens's
post with β€οΈ
3 days ago
Post
7543
Yes, DeepSeek R1's release is impressive. But the real story is what happened in just 7 days after:
- Original release: 8 models, 540K downloads. Just the beginning...
- The community turned those open-weight models into +550 NEW models on Hugging Face. Total downloads? 2.5Mβnearly 5X the originals.
The reason? DeepSeek models are open-weight, letting anyone build on top of them. Interesting to note that the community focused on quantized versions for better efficiency & accessibility. They want models that use less memory, run faster, and are more energy-efficient.
When you empower builders, innovation explodes. For everyone. π
The most popular community model? @bartowski 's DeepSeek-R1-Distill-Qwen-32B-GGUF version β 1M downloads alone.
- Original release: 8 models, 540K downloads. Just the beginning...
- The community turned those open-weight models into +550 NEW models on Hugging Face. Total downloads? 2.5Mβnearly 5X the originals.
The reason? DeepSeek models are open-weight, letting anyone build on top of them. Interesting to note that the community focused on quantized versions for better efficiency & accessibility. They want models that use less memory, run faster, and are more energy-efficient.
When you empower builders, innovation explodes. For everyone. π
The most popular community model? @bartowski 's DeepSeek-R1-Distill-Qwen-32B-GGUF version β 1M downloads alone.
-
- 4 replies
reacted to
Bils's
post with β€οΈ
3 days ago
Post
1713
π Explore the powerful Janus-Pro-7B Text-to-Image Generator! Transform your prompts into stunning visuals with state-of-the-art AI.
Bils/DeepseekJanusPro-Image
Bils/DeepseekJanusPro-Image
- 2 replies
reacted to
nicolay-r's
post with π
3 days ago
Post
1406
π’ For those who wish to launch distilled DeepSeek R1 for reasoning with schema, sharing the Google Colab notebook:
π https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/llm_deep_seek_7b_distill_colab.ipynb
This is a wrapper of the Qwen2 transformers π€ provider via bulk-chain framework.
Model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
GPU: T4 (15GB) is nearly enough in float32 mode.
π To boost the performance you may set bf16 mode (use_bf16=True)
π Powered by bulk-chain: https://github.com/nicolay-r/bulk-chain
π https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/llm_deep_seek_7b_distill_colab.ipynb
This is a wrapper of the Qwen2 transformers π€ provider via bulk-chain framework.
Model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
GPU: T4 (15GB) is nearly enough in float32 mode.
π To boost the performance you may set bf16 mode (use_bf16=True)
π Powered by bulk-chain: https://github.com/nicolay-r/bulk-chain
posted
an
update
3 days ago
Post
2745
Finally, an open-source AI that turns your lyrics into full songs is hereβmeet YuE! Unlike other tools that only create short clips, YuE can make entire songs (up to 5 minutes) with vocals, melody, and instruments all working together. Letsss go!
m-a-p/YuE-s1-7B-anneal-en-cot
m-a-p/YuE-s1-7B-anneal-en-cot
-
- 1 reply
reacted to
mlabonne's
post with π€
12 days ago
Post
3567
π LLM Course 2025 edition!
I updated the LLM Scientist roadmap and added a ton of new information and references. It covers training, datasets, evaluation, quantization, and new trends like test-time compute scaling.
The LLM Course has been incredibly popular (41.3k stars!) and I've been touched to receive many, many messages about how it helped people in their careers.
I know how difficult this stuff can be, so I'm super proud of the impact it had. I want to keep updating it in 2025, especially with the LLM Engineer roadmap.
Thanks everyone, hope you'll enjoy it!
π» LLM Course: https://huggingface.co/blog/mlabonne/llm-course
I updated the LLM Scientist roadmap and added a ton of new information and references. It covers training, datasets, evaluation, quantization, and new trends like test-time compute scaling.
The LLM Course has been incredibly popular (41.3k stars!) and I've been touched to receive many, many messages about how it helped people in their careers.
I know how difficult this stuff can be, so I'm super proud of the impact it had. I want to keep updating it in 2025, especially with the LLM Engineer roadmap.
Thanks everyone, hope you'll enjoy it!
π» LLM Course: https://huggingface.co/blog/mlabonne/llm-course
reacted to
prithivMLmods's
post with π€
12 days ago
Post
3356
200+ f{π€} on Stranger Zone! [ https://huggingface.co/strangerzonehf ]
β€οΈβπ₯Stranger Zone's MidJourney Mix Model Adapter is trending on the Very Model Page, with over 45,000+ downloads. Additionally, the Super Realism Model Adapter has over 52,000+ downloads, remains the top two adapter on Stranger Zone!
strangerzonehf/Flux-Midjourney-Mix2-LoRA, strangerzonehf/Flux-Super-Realism-LoRA
π½Try Demo: prithivMLmods/FLUX-LoRA-DLC
π¦Most Recent Adapters to Check Out :
+ Ctoon : strangerzonehf/Ctoon-Plus-Plus
+ Cardboard : strangerzonehf/Flux-Cardboard-Art-LoRA
+ Claude Art : strangerzonehf/Flux-Claude-Art
+ Flay Lay : strangerzonehf/Flux-FlatLay-LoRA
+ Smiley Portrait : strangerzonehf/Flux-Smiley-Portrait-LoRA
π€Thanks for Community & OPEN SOURCEEE !!
β€οΈβπ₯Stranger Zone's MidJourney Mix Model Adapter is trending on the Very Model Page, with over 45,000+ downloads. Additionally, the Super Realism Model Adapter has over 52,000+ downloads, remains the top two adapter on Stranger Zone!
strangerzonehf/Flux-Midjourney-Mix2-LoRA, strangerzonehf/Flux-Super-Realism-LoRA
π½Try Demo: prithivMLmods/FLUX-LoRA-DLC
π¦Most Recent Adapters to Check Out :
+ Ctoon : strangerzonehf/Ctoon-Plus-Plus
+ Cardboard : strangerzonehf/Flux-Cardboard-Art-LoRA
+ Claude Art : strangerzonehf/Flux-Claude-Art
+ Flay Lay : strangerzonehf/Flux-FlatLay-LoRA
+ Smiley Portrait : strangerzonehf/Flux-Smiley-Portrait-LoRA
π€Thanks for Community & OPEN SOURCEEE !!
- 6 replies
reacted to
burtenshaw's
post with π₯
12 days ago
Post
39333
Weβre launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
- 23 replies
reacted to
cutechicken's
post with π₯
12 days ago
Post
2847
π¬ PaperImpact
: Scientific Impact Predictor Powered by Deep Learning π―
VIDraft/PaperImpact
π Overview
A cutting-edge AI system that combines transformer architecture with citation pattern analysis to predict research impact. Our model, trained on 120,000+ CS papers, analyzes innovation potential, methodological robustness, and future impact, providing researchers with valuable insights before publication.
π§ Scientific Foundation
BERT-based semantic analysis
Citation network pattern learning
NDCG optimization & MSE loss
Cross-validated prediction engine
GPU-accelerated inference
π« Why Researchers Need This
Pre-submission impact assessment
Research direction optimization
Time-saving paper evaluation
Competitive edge in academia
Trend identification advantage
π― Key Features
One-click arXiv paper analysis
Real-time impact scoring (0-1)
9-tier grading system (AAA-C)
Smart input validation
Instant visual feedback
π Unique Benefits
"Don't wait years to know your paper's impact. Get instant, AI-powered insights to strengthen your research strategy and maximize your academic influence."
Perfect for:
Research authors
PhD students
Journal editors
Research institutions
Grant committees
#ResearchImpact #AcademicAI #ScienceMetrics #ResearchExcellence
: Scientific Impact Predictor Powered by Deep Learning π―
VIDraft/PaperImpact
π Overview
A cutting-edge AI system that combines transformer architecture with citation pattern analysis to predict research impact. Our model, trained on 120,000+ CS papers, analyzes innovation potential, methodological robustness, and future impact, providing researchers with valuable insights before publication.
π§ Scientific Foundation
BERT-based semantic analysis
Citation network pattern learning
NDCG optimization & MSE loss
Cross-validated prediction engine
GPU-accelerated inference
π« Why Researchers Need This
Pre-submission impact assessment
Research direction optimization
Time-saving paper evaluation
Competitive edge in academia
Trend identification advantage
π― Key Features
One-click arXiv paper analysis
Real-time impact scoring (0-1)
9-tier grading system (AAA-C)
Smart input validation
Instant visual feedback
π Unique Benefits
"Don't wait years to know your paper's impact. Get instant, AI-powered insights to strengthen your research strategy and maximize your academic influence."
Perfect for:
Research authors
PhD students
Journal editors
Research institutions
Grant committees
#ResearchImpact #AcademicAI #ScienceMetrics #ResearchExcellence
- 1 reply
reacted to
nyuuzyou's
post with β€οΈ
12 days ago
Post
1676
π¨ Artfol Dataset -
nyuuzyou/artfol
A collection of 1,892,816 artwork posts featuring:
- High-quality art pieces with various styles and techniques
- Complete metadata including artist IDs, titles, and moderation flags
- Content from Artfol social media platform
The dataset contains:
- Public domain artwork posts
- Artist attribution and identifiers
- Direct image URLs and web page links
- Content safety flags (NSFW, gore)
- Post titles and descriptions
All content is available under CC0 license, allowing unrestricted use including commercial applications.
A collection of 1,892,816 artwork posts featuring:
- High-quality art pieces with various styles and techniques
- Complete metadata including artist IDs, titles, and moderation flags
- Content from Artfol social media platform
The dataset contains:
- Public domain artwork posts
- Artist attribution and identifiers
- Direct image URLs and web page links
- Content safety flags (NSFW, gore)
- Post titles and descriptions
All content is available under CC0 license, allowing unrestricted use including commercial applications.
reacted to
yunusserhat's
post with π
12 days ago
Post
3237
Hello everyone,
I am pleased to announce that I have founded the University of Glasgow organization on Huggingface. If you are affiliated with the University of Glasgow or have a relative who is, you can log in through the relevant link.
https://huggingface.co/UniversityofGlasgow
I am pleased to announce that I have founded the University of Glasgow organization on Huggingface. If you are affiliated with the University of Glasgow or have a relative who is, you can log in through the relevant link.
https://huggingface.co/UniversityofGlasgow
- 1 reply
reacted to
alibabasglab's
post with π₯
17 days ago
Post
2589
We are thrilled to present the improved "ClearerVoice-Studio", an open-source platform designed to make speech processing easy use for everyone! Whether youβre working on speech enhancement, speech separation, speech super-resolution, or target speaker extraction, this unified platform has you covered.
** Why Choose ClearerVoice-Studio?**
- Pre-Trained Models: Includes cutting-edge pre-trained models, fine-tuned on extensive, high-quality datasets. No need to start from scratch!
- Ease of Use: Designed for seamless integration with your projects, offering a simple yet flexible interface for inference and training.
**Where to Find Us?**
- GitHub Repository: ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio)
- Try Our Demo: Hugging Face Space ( alibabasglab/ClearVoice)
**What Can You Do with ClearerVoice-Studio?**
- Enhance noisy speech recordings to achieve crystal-clear quality.
- Separate speech from complex audio mixtures with ease.
- Transform low-resolution audio into high-resolution audio. A full upscaled LJSpeech-1.1-48kHz dataset can be downloaded from alibabasglab/LJSpeech-1.1-48kHz .
- Extract target speaker voices with precision using audio-visual models.
**Join Us in Growing ClearerVoice-Studio!**
We believe in the power of open-source collaboration. By starring our GitHub repository and sharing ClearerVoice-Studio with your network, you can help us grow this community-driven platform.
**Support us by:**
- Starring it on GitHub.
- Exploring and contributing to our codebase .
- Sharing your feedback and use cases to make the platform even better.
- Joining our community discussions to exchange ideas and innovations.
- Together, letβs push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
** Why Choose ClearerVoice-Studio?**
- Pre-Trained Models: Includes cutting-edge pre-trained models, fine-tuned on extensive, high-quality datasets. No need to start from scratch!
- Ease of Use: Designed for seamless integration with your projects, offering a simple yet flexible interface for inference and training.
**Where to Find Us?**
- GitHub Repository: ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio)
- Try Our Demo: Hugging Face Space ( alibabasglab/ClearVoice)
**What Can You Do with ClearerVoice-Studio?**
- Enhance noisy speech recordings to achieve crystal-clear quality.
- Separate speech from complex audio mixtures with ease.
- Transform low-resolution audio into high-resolution audio. A full upscaled LJSpeech-1.1-48kHz dataset can be downloaded from alibabasglab/LJSpeech-1.1-48kHz .
- Extract target speaker voices with precision using audio-visual models.
**Join Us in Growing ClearerVoice-Studio!**
We believe in the power of open-source collaboration. By starring our GitHub repository and sharing ClearerVoice-Studio with your network, you can help us grow this community-driven platform.
**Support us by:**
- Starring it on GitHub.
- Exploring and contributing to our codebase .
- Sharing your feedback and use cases to make the platform even better.
- Joining our community discussions to exchange ideas and innovations.
- Together, letβs push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
reacted to
Tonic's
post with π₯
17 days ago
Post
2402
ππ»ββοΈHey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group :
Tonic/Lucie-7B hope you like it π
reacted to
nroggendorff's
post with π₯π
17 days ago
replied to
StephenGenusa's
post
17 days ago
Mhhh, sorry about that. (ping @cbensimon mabye he can help)
Nice any hosted version?