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cgeorgiaw
updated
a
Space
12 days ago
cgeorgiaw
published
a
Space
12 days ago
Post
1151
🚀🚀🚀Huge biotech data drop today🚀🚀🚀
The largest drug-target dataset ever created was just released on Hugging Face—and it's still growing...
EvE Bio is further updating the dataset every 8 weeks. Drug development dream.
Read the blog: https://huggingface.co/blog/hugging-science/eve-bio-mapping-the-pharmone-drug-interaction
Play with the data: eve-bio/drug-target-activity
The largest drug-target dataset ever created was just released on Hugging Face—and it's still growing...
EvE Bio is further updating the dataset every 8 weeks. Drug development dream.
Read the blog: https://huggingface.co/blog/hugging-science/eve-bio-mapping-the-pharmone-drug-interaction
Play with the data: eve-bio/drug-target-activity
thomwolf
authored
a
paper
about 2 months ago
lvwerra
authored
a
paper
about 2 months ago
Ramlaoui
updated
a
dataset
about 2 months ago
Post
5948
🚀🚀🚀 The largest ever dataset of co-folded 3D protein-ligand structures just dropped on HF!!
Meet SAIR (Structurally Augmented IC₅₀ Repository): 5M+ AI-generated complexes with experimentally measured drug potency data from SandboxAQ. 🚀🚀🚀
Check it out and explore here: SandboxAQ/SAIR
Meet SAIR (Structurally Augmented IC₅₀ Repository): 5M+ AI-generated complexes with experimentally measured drug potency data from SandboxAQ. 🚀🚀🚀
Check it out and explore here: SandboxAQ/SAIR
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- 3 replies
Post
631
Just dropped the most influential materials science data of the year so far! Check it out :)))
cgeorgiaw/WyFormer-Symmetric-Crystals
cgeorgiaw/WyFormer-Symmetric-Crystals
- 1 reply
IAMJB
authored
a
paper
5 months ago
thomwolf
authored
a
paper
5 months ago
lvwerra
authored
a
paper
5 months ago
Post
2785
Huge new bio datasets just dropped!!!
Check out them out @
ginkgo-datapoints
Read the blog for more info: https://huggingface.co/blog/cgeorgiaw/gdp
Check out them out @
ginkgo-datapoints
Read the blog for more info: https://huggingface.co/blog/cgeorgiaw/gdp
- 1 reply
Post
1608
Snooping on HF is the best because sometimes you just discover that someone (in this case, Earth Species Project) is about to drop terabytes of sick (high quality animal sounds) data...
EarthSpeciesProject/NatureLM-audio-training
EarthSpeciesProject/NatureLM-audio-training
thomwolf
authored
a
paper
6 months ago
Post
520
Just dropped two bigger physics datasets (both on photonics)!
NUMBA 1: SIB-CL
This dataset of Surrogate- and Invariance-Boosted Contrastive Learning (SIB-CL) datasets for two scientific problems:
- PhC2D: 2D photonic crystal density-of-states (DOS) and bandstructure data.
- TISE: 3D time-independent Schrödinger equation eigenvalue and eigenvector solutions.
NUMBA2: 2D Photonic Topology
Symmetry-driven analysis of 2D photonic crystals: 10k random unit cells across 11 symmetries, 2 polarizations, 5 contrasts. Includes time-reversal breaking cases for 4 symmetries at high contrast.
Check them out: cgeorgiaw/sib-cl & cgeorgiaw/2d-photonic-topology
NUMBA 1: SIB-CL
This dataset of Surrogate- and Invariance-Boosted Contrastive Learning (SIB-CL) datasets for two scientific problems:
- PhC2D: 2D photonic crystal density-of-states (DOS) and bandstructure data.
- TISE: 3D time-independent Schrödinger equation eigenvalue and eigenvector solutions.
NUMBA2: 2D Photonic Topology
Symmetry-driven analysis of 2D photonic crystals: 10k random unit cells across 11 symmetries, 2 polarizations, 5 contrasts. Includes time-reversal breaking cases for 4 symmetries at high contrast.
Check them out: cgeorgiaw/sib-cl & cgeorgiaw/2d-photonic-topology
cgeorgiaw
authored
4
papers
7 months ago
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap
Paper
•
2410.07436
•
Published
•
1
Fact-Checking with Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis
Paper
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2504.10166
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Published
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2
PSyDUCK: Training-Free Steganography for Latent Diffusion
Paper
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2501.19172
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Published
•
1
LLM-Consensus: Multi-Agent Debate for Visual Misinformation Detection
Paper
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2410.20140
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Published
•
1
clefourrier
posted
an
update
7 months ago
Post
1996
Always surprised that so few people actually read the FineTasks blog, on
✨how to select training evals with the highest signal✨
If you're serious about training models without wasting compute on shitty runs, you absolutely should read it!!
An high signal eval actually tells you precisely, during training, how wel & what your model is learning, allowing you to discard the bad runs/bad samplings/...!
The blog covers in depth prompt choice, metrics, dataset, across languages/capabilities, and my fave section is "which properties should evals have"👌
(to know on your use case how to select the best evals for you)
Blog: HuggingFaceFW/blogpost-fine-tasks
✨how to select training evals with the highest signal✨
If you're serious about training models without wasting compute on shitty runs, you absolutely should read it!!
An high signal eval actually tells you precisely, during training, how wel & what your model is learning, allowing you to discard the bad runs/bad samplings/...!
The blog covers in depth prompt choice, metrics, dataset, across languages/capabilities, and my fave section is "which properties should evals have"👌
(to know on your use case how to select the best evals for you)
Blog: HuggingFaceFW/blogpost-fine-tasks
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- 2 replies