SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
Paper
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2502.13128
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Published
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35
Gradio-Themes-Party
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yuhangzang
authored
a
paper
8 days ago
louisbrulenaudet
posted
an
update
12 days ago
Post
3051
I am pleased to introduce my first project built upon Hugging Face’s smolagents framework, integrated with Alpaca for financial market analysis automation 🦙🤗
The project implements technical indicators such as the Relative Strength Index (RSI) and Bollinger Bands to provide momentum and volatility analysis. Market data is retrieved through the Alpaca API, enabling access to historical price information across various timeframes.
AI-powered insights are generated using Hugging Face’s inference API, facilitating the analysis of market trends through natural language processing with DuckDuckGo search integration for real-time sentiment analysis based on financial news 🦆
Link to the GitHub project: https://github.com/louisbrulenaudet/agentic-market-tool
The project implements technical indicators such as the Relative Strength Index (RSI) and Bollinger Bands to provide momentum and volatility analysis. Market data is retrieved through the Alpaca API, enabling access to historical price information across various timeframes.
AI-powered insights are generated using Hugging Face’s inference API, facilitating the analysis of market trends through natural language processing with DuckDuckGo search integration for real-time sentiment analysis based on financial news 🦆
Link to the GitHub project: https://github.com/louisbrulenaudet/agentic-market-tool
yuhangzang
authored
a
paper
15 days ago
yuhangzang
authored
3
papers
18 days ago
WildAvatar: Web-scale In-the-wild Video Dataset for 3D Avatar Creation
Paper
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2407.02165
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Published
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Paper
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2407.11691
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Published
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14
VideoRoPE: What Makes for Good Video Rotary Position Embedding?
Paper
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2502.05173
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Published
•
61
yuhangzang
authored
a
paper
about 1 month ago
yuhangzang
authored
3
papers
about 2 months ago
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Paper
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2501.05510
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Published
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39
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
Paper
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2501.03218
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Published
•
35
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
Paper
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2501.03226
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Published
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41
Post
825
Hey everyone 🤗!
Check out this new Virtual Try Off model (based on SD1.5): 1aurent/TryOffAnyone
This model isn't as accurate as others (e.g. xiaozaa/cat-try-off-flux based on FLUX.1) but it sure is fast!
Check out this new Virtual Try Off model (based on SD1.5): 1aurent/TryOffAnyone
This model isn't as accurate as others (e.g. xiaozaa/cat-try-off-flux based on FLUX.1) but it sure is fast!
yuhangzang
authored
a
paper
3 months ago
Post
1688
First Global and Dense Open Embedding Dataset of Earth! 🌍 🤗
Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. 🔶 and Φ-lab at the European Space Agency (ESA) 🛰️. Together with @mikonvergence and Jędrzej S. Bojanowski, we present the first open-access dataset of Copernicus embeddings, offering dense, global coverage across the full acquisition areas of Sentinel-1 and Sentinel-2 sensors.
💡 Highlights:
📊 Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data.
🧠 Models: Foundation models include SigLIP, DINOv2, and SSL4EO.
📦 Scale: 62 TB of raw satellite data processed into 170M+ embeddings.
This project delivers open and free vectorized expansions of Major-TOM/README datasets, setting a new standard for embedding releases and enabling lightweight, scalable ingestion of Earth Observation (EO) data for countless applications.
🤗 Explore the datasets:
Major-TOM/Core-S2L1C-SSL4EO
Major-TOM/Core-S1RTC-SSL4EO
Major-TOM/Core-S2RGB-DINOv2
Major-TOM/Core-S2RGB-SigLIP
📖 Check paper: Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space (2412.05600)
💻 Code notebook: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
Introducing the Major TOM embeddings dataset, created in collaboration with CloudFerro S.A. 🔶 and Φ-lab at the European Space Agency (ESA) 🛰️. Together with @mikonvergence and Jędrzej S. Bojanowski, we present the first open-access dataset of Copernicus embeddings, offering dense, global coverage across the full acquisition areas of Sentinel-1 and Sentinel-2 sensors.
💡 Highlights:
📊 Data: Over 8 million Sentinel-1 & Sentinel-2 images processed, distilling insights from 9.368 trillion pixels of raw data.
🧠 Models: Foundation models include SigLIP, DINOv2, and SSL4EO.
📦 Scale: 62 TB of raw satellite data processed into 170M+ embeddings.
This project delivers open and free vectorized expansions of Major-TOM/README datasets, setting a new standard for embedding releases and enabling lightweight, scalable ingestion of Earth Observation (EO) data for countless applications.
🤗 Explore the datasets:
Major-TOM/Core-S2L1C-SSL4EO
Major-TOM/Core-S1RTC-SSL4EO
Major-TOM/Core-S2RGB-DINOv2
Major-TOM/Core-S2RGB-SigLIP
📖 Check paper: Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space (2412.05600)
💻 Code notebook: https://github.com/ESA-PhiLab/Major-TOM/blob/main/05-Generate-Major-TOM-Embeddings.ipynb
- 1 reply
yuhangzang
authored
a
paper
3 months ago
louisbrulenaudet
posted
an
update
4 months ago
Post
2008
I’ve published a new dataset to simplify model merging 🤗
This dataset facilitates the search for compatible architectures for model merging with @arcee_ai’s mergekit, streamlining the automation of high-performance merge searches 📖
Dataset : louisbrulenaudet/mergekit-configs
This dataset facilitates the search for compatible architectures for model merging with @arcee_ai’s mergekit, streamlining the automation of high-performance merge searches 📖
Dataset : louisbrulenaudet/mergekit-configs
- 1 reply
louisbrulenaudet
posted
an
update
4 months ago
Post
1344
Introducing Lemone-router, a series of classification models designed to produce an optimal multi-agent system for different branches of tax law.
Trained on a base of 49k lines comprising a set of synthetic questions generated by GPT-4 Turbo and Llama 3.1 70B, which have been further refined through evol-instruction tuning and manual curation and authority documents, these models are based on an 8-category decomposition of the classification scheme derived from the Bulletin officiel des finances publiques - impôts :
It achieves the following results on the evaluation set:
- Loss: 0.4734
- Accuracy: 0.9191
Link to the collection: louisbrulenaudet/lemone-router-671cce21d6410f3570514762
Trained on a base of 49k lines comprising a set of synthetic questions generated by GPT-4 Turbo and Llama 3.1 70B, which have been further refined through evol-instruction tuning and manual curation and authority documents, these models are based on an 8-category decomposition of the classification scheme derived from the Bulletin officiel des finances publiques - impôts :
label2id = {
"Bénéfices professionnels": 0,
"Contrôle et contentieux": 1,
"Dispositifs transversaux": 2,
"Fiscalité des entreprises": 3,
"Patrimoine et enregistrement": 4,
"Revenus particuliers": 5,
"Revenus patrimoniaux": 6,
"Taxes sur la consommation": 7
}
id2label = {
0: "Bénéfices professionnels",
1: "Contrôle et contentieux",
2: "Dispositifs transversaux",
3: "Fiscalité des entreprises",
4: "Patrimoine et enregistrement",
5: "Revenus particuliers",
6: "Revenus patrimoniaux",
7: "Taxes sur la consommation"
}It achieves the following results on the evaluation set:
- Loss: 0.4734
- Accuracy: 0.9191
Link to the collection: louisbrulenaudet/lemone-router-671cce21d6410f3570514762
yuhangzang
authored
3
papers
4 months ago
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
Paper
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2410.17637
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Published
•
35
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
Paper
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2410.17247
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Published
•
46
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Paper
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2410.16268
•
Published
•
67
louisbrulenaudet
posted
an
update
4 months ago
Post
3128
🚨 I have $3,500 in Azure credits, including access to an H100 (96 Go), expiring on November 12, 2024.
I won’t be able to use it all myself, so I’m reaching out to the @huggingface community: Are there any open-source projets with data ready for some compute power?
Let’s collaborate and make the most of it together 🔗
I won’t be able to use it all myself, so I’m reaching out to the @huggingface community: Are there any open-source projets with data ready for some compute power?
Let’s collaborate and make the most of it together 🔗
- 9 replies