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Falkon Alternatives
Similar projects and alternatives to falkon based on common topics and language
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pytorch-lightning
Discontinued Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning] (by PyTorchLightning)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
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pytorch-lightning
Discontinued The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning] (by williamFalcon)
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haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better falkon alternative or higher similarity.
falkon reviews and mentions
Posts with mentions or reviews of falkon.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-26.
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[Research] Optimizing a kernel matrix
As a satisfied customer (thanks!), was about to recommend KeOps as well. It might also be worth looking into falkon which builds on KeOps and leverages Nystrom approximation and conjugate gradient optimisation to further scale kernel operations.
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[D] Have we abandoned kernels?
On the computational side, it is also important to note that kernel methods are now 100-1,000 faster than they were just three years ago. You may be interested by the KeOps library, which is to kernels and geometric ML what cuDNN is to convolutions. You could also have a look at GPyTorch and the Falkon solvers: the software bottlenecks that were holding back kernel methods are progressively being lifted. Million-scale datasets are now routinely processed in minutes/hours and billion-scale problems are starting to become tractable.
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[D] why did kernel methods become less popular than neural networks?
On this note, you may be interested by the KeOps library (which is to kernels/geometric ML what cuDNN is to CNNs) and the Falkon solvers: the software bottlenecks that were holding back kernel methods are progressively being lifted. Million-scale datasets are now routinely processed in minutes/hours and billion-scale problems are starting to become tractable. This opens up quite a few possibilities :-)
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Stats
Basic falkon repo stats
3
172
8.0
about 19 hours ago
FalkonML/falkon is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of falkon is Python.
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