The pre-trained foundation models for learning genomes
HENG YANG
yangheng
AI & ML interests
AI4Science, genomic foundation models, sentiment analysis, code modeling, adversarial attack
Recent Activity
authored
a paper
about 7 hours ago
Improving Implicit Sentiment Learning via Local Sentiment Aggregation
authored
a paper
about 7 hours ago
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment
Analysis
authored
a paper
about 7 hours ago
InstOptima: Evolutionary Multi-objective Instruction Optimization via
Large Language Model-based Instruction Operators
Organizations
spaces
8
pinned
Running
1
OmniGenomeBench
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pinned
Running
26
PyABSA
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Extract aspects and sentiments from text
Build error
20
PyABSA ATEPC
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Sleeping
RNADesign
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Design RNA sequences given secondary structures
Running
1
PlantRNA FM Inference
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Predict RNA sequence from masked input
Running
79
Anything V3.0
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Generate images from text prompts or transform existing images
models
8
yangheng/deberta-v3-large-absa-v1.1
Text Classification
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0.4B
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Updated
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345
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18
yangheng/deberta-v3-base-absa-v1.1
Text Classification
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0.2B
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Updated
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99.5k
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53
yangheng/OmniGenome-v1.5
0.2B
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Updated
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99
yangheng/OmniGenome-186M
0.2B
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Updated
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60
yangheng/OmniGenome-52M
0.1B
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Updated
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986
yangheng/PlantRNA-FM
Fill-Mask
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0.0B
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Updated
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95
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7
yangheng/MoEOmniGenomeV2
0.6B
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Updated
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2
yangheng/MP-RNA
0.2B
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Updated
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253