cuml
frank_jwt
cuml | frank_jwt | |
---|---|---|
10 | 355 | |
3,926 | 250 | |
1.1% | - | |
9.3 | 3.1 | |
about 22 hours ago | 6 months ago | |
C++ | Rust | |
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
cuml
- FLaNK Stack Weekly for 13 November 2023
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Is it possible to run Sklearn models on a GPU?
sklearn can't, bit take a look at cuML (https://github.com/rapidsai/cuml ). It uses the same API as sklearn but executes on GPU.
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[P] Looking for state of the art clustering algorithms
As a companion to the other comments, I'd like to mention that the RAPIDS library cuML provides GPU-accelerated versions of quite a few of the algorithms mentioned in this thread (HDBSCAN, UMAP, SVM, PCA, {Exact, Approximate} Nearest Neighbors, DBSCAN, KMeans, etc.).
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Is there a multi regression model that works on GPU?
CuML
- [D] What's your favorite unpopular/forgotten Machine Learning method?
- Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
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What are the advantages and disadvantages of using GPU for machine learning/ deep learning/ scientific computation over the conventional CPU software acceleration?
Did they implement the clustering algorithm themselves? cuML is a GPU-accelerated scikit-learn-like package that covers many of the common ML algorithms.
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Intel Extension for Scikit-Learn
https://github.com/rapidsai/cuml
> cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU equivalents. For details on performance, see the cuML Benchmarks Notebook.
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GPU Based Kernel-PCA
Cython code
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Python Machine Learning Guy getting started with CUDA. What should I be brushing up on?
Take a look at RAPIDS CUML https://github.com/rapidsai/cuml. It's useful for most common ML algorithms. Feel free to create Github issues for feature requests & bugs.
frank_jwt
- Show HN: Storing Private Keys in the Browser Securely
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Authentication using JSON Web Tokens.
NOTE: Never store sensitive information about a client in the payload as the JWT is just encoded and not encrypted. You can paste the JWT I gave as an example above in this cool site which basically allows you to see in decoded. JSON Web Tokens - jwt.io
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Building Llama as a Service (LaaS)
Although they did not make it into production, I experimented with the RabbitMQ message broker, Python (Django, Flask), Kubernetes + minikube, JWT, and NGINX. This was a hobby project, but I intended to learn about microservices along the way.
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Rethinking password security: say goodbye to plaintext passwords
JSON Web Token (JWT) creation to extend user authentication to server-side functions
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JWT, JWS, JWE and how to cook them
The (probably) most famous web resource about JWT - https://jwt.io - provides such a definition of JSON Web Tokens:
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JWT Authentication in NodeJS
If you want to play with JWT and put these concepts into practice, you can use jwt.ioDebugger to decode, verify, and generate JWTs.
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Microservices Authentication and Authorization Using API Gateway
In this context, JSON Web Tokens (JWTs) play a crucial role.
- I turned my open-source project into a full-time business
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FullStack Next.js & Django Authentication: Django REST, TypeScript, JWT, Wretch & Djoser
Json Web Token (JWT): Even though it is more like an industry standard, we will use JWTs for stateless authentication in this article. If you want to learn more, you can refer to the official documentation.
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Autenticação com Golang e AWS Cognito
Se pegar o token jwt podemos ver o que tem dentro, usando o site jwt.io.
What are some alternatives?
scikit-learn - scikit-learn: machine learning in Python
shc-covid19-decoder - Very simple app to decode your Vaccination Proof QR Code (such as the one provided by government of Quebec) - Compatible with SHC (Smart Health Card standard)
scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Ory Kratos - Next-gen identity server replacing your Auth0, Okta, Firebase with hardened security and PassKeys, SMS, OIDC, Social Sign In, MFA, FIDO, TOTP and OTP, WebAuthn, passwordless and much more. Golang, headless, API-first. Available as a worry-free SaaS with the fairest pricing on the market!
scikit-cuda - Python interface to GPU-powered libraries
auth - A JWT based API for managing users and issuing JWT tokens
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
cudf - cuDF - GPU DataFrame Library
async-storage - An asynchronous, persistent, key-value storage system for React Native.
evojax
supabase - The open source Firebase alternative.