lightning-flash
quaterion
| lightning-flash | quaterion | |
|---|---|---|
| 2 | 4 | |
| 1,711 | 624 | |
| - | 2.2% | |
| 7.3 | 2.3 | |
| 7 months ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lightning-flash
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A guide to starting PyTorch
Not faster to learn at all. Keras is more like learning Lightning Flash: https://github.com/PyTorchLightning/lightning-flash
- Lightning Flash: A collection of tasks for solving problems with deep learning
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?
tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
torchmd - End-To-End Molecular Dynamics (MD) Engine using PyTorch
kervolution - Kervolution Library in PyTorch (CVPR 2019 Oral)
awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows