Théo Gnassounou
@tgnassou.bsky.social
Ph.D. student in Machine Learning and Domain Adaptation for Neuroscience at Inria Saclay/ Mind.
Website: https://tgnassou.github.io/
Skada: https://scikit-adaptation.github.io/
Website: https://tgnassou.github.io/
Skada: https://scikit-adaptation.github.io/
Reposted by Théo Gnassounou
Figure 1. Happy ML researcher and open source developer presenting his toolbox SKADA at PyData Paris. Congrats @tgnassou.bsky.social the presentation was awesome!
September 30, 2025 at 3:28 PM
Figure 1. Happy ML researcher and open source developer presenting his toolbox SKADA at PyData Paris. Congrats @tgnassou.bsky.social the presentation was awesome!
Skada Sprint Alert: Contribute to Domain Adaptation in Python
📖 Machine learning models often fail when the data distribution changes between training and testing. That’s where Domain Adaptation comes in — helping models stay reliable across domains.
📖 Machine learning models often fail when the data distribution changes between training and testing. That’s where Domain Adaptation comes in — helping models stay reliable across domains.
May 20, 2025 at 9:30 AM
Skada Sprint Alert: Contribute to Domain Adaptation in Python
📖 Machine learning models often fail when the data distribution changes between training and testing. That’s where Domain Adaptation comes in — helping models stay reliable across domains.
📖 Machine learning models often fail when the data distribution changes between training and testing. That’s where Domain Adaptation comes in — helping models stay reliable across domains.
🚀 I’m pleased to announce a new preprint!
"SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities"
📢 Check it out & contribute!
📜 Paper: arxiv.org/abs/2407.11676
💻 Code: github.com/scikit-adapt...
"SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities"
📢 Check it out & contribute!
📜 Paper: arxiv.org/abs/2407.11676
💻 Code: github.com/scikit-adapt...
February 12, 2025 at 3:17 PM
🚀 I’m pleased to announce a new preprint!
"SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities"
📢 Check it out & contribute!
📜 Paper: arxiv.org/abs/2407.11676
💻 Code: github.com/scikit-adapt...
"SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities"
📢 Check it out & contribute!
📜 Paper: arxiv.org/abs/2407.11676
💻 Code: github.com/scikit-adapt...
🚀 Skada v0.4.0 is out!
Skada is an open-source Python library built for domain adaptation (DA), helping machine learning models to adapt to distribution shifts.
Github: github.com/scikit-adapt...
Doc: scikit-adaptation.github.io
DOI: doi.org/10.5281/zeno...
Installation: `pip install skada`
Skada is an open-source Python library built for domain adaptation (DA), helping machine learning models to adapt to distribution shifts.
Github: github.com/scikit-adapt...
Doc: scikit-adaptation.github.io
DOI: doi.org/10.5281/zeno...
Installation: `pip install skada`
December 6, 2024 at 3:50 PM
🚀 Skada v0.4.0 is out!
Skada is an open-source Python library built for domain adaptation (DA), helping machine learning models to adapt to distribution shifts.
Github: github.com/scikit-adapt...
Doc: scikit-adaptation.github.io
DOI: doi.org/10.5281/zeno...
Installation: `pip install skada`
Skada is an open-source Python library built for domain adaptation (DA), helping machine learning models to adapt to distribution shifts.
Github: github.com/scikit-adapt...
Doc: scikit-adaptation.github.io
DOI: doi.org/10.5281/zeno...
Installation: `pip install skada`