TitanicPassangerSurvivalPredictor
quaterion
| TitanicPassangerSurvivalPredictor | quaterion | |
|---|---|---|
| 1 | 4 | |
| 2 | 624 | |
| - | 2.2% | |
| 0.0 | 2.3 | |
| over 1 year ago | about 1 month ago | |
| Python | Python | |
| - | Apache License 2.0 |
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TitanicPassangerSurvivalPredictor
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I Made a web-app that predicts whether you would have survived the Titanic wreck.
github repository: https://github.com/karan51ngh/TitanicPassangerSurvivalPredictor
quaterion
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Similarity Learning lacks a framework. So we built one
PML is a great collection of implementations, but not the best framework. Also you can use PML with Quaterion: https://github.com/qdrant/quaterion/blob/master/examples/tra...
- Show HN: Quaterion – x100 faster fine-tuning of similarity learning models
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[N] Quaterion, a blazingly fast framework for similarity learning.
Just released. Quaterion — an open source framework for training and fine-tuning similarity learning models. It enables you to train models significantly (100x) faster, and iterate over experiments in minutes instead of hours even with a laptop GPU. It takes advantage of the PyTorch Lightning backend to make a flexible and scalable learning pipeline. GitHub https://github.com/qdrant/quaterion
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Introducing the Quaterion: a framework for fine-tuning similarity learning models
Quaterion on GitHub: https://github.com/qdrant/quaterion
What are some alternatives?
svm-pytorch - Linear SVM with PyTorch
lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
kervolution - Kervolution Library in PyTorch (CVPR 2019 Oral)
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Milvus - A cloud-native vector database, storage for next generation AI applications
hardnet - Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
awesome-metric-learning - 😎 A curated list of awesome practical Metric Learning and its applications
retomaton - PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)