
Uploadcare
Cloudinary
Filestack
Cyberduck
Uppy
ImageKit.io
Igloo Software
Azure File Storage
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Uploadcare is file management platform and a CDN for user-generated content. It is a robust file API for uploading, managing, processing, rendering, optimizing and delivering usersโ content.
Uploadcare
Scikit-learnUploadcare is recommended for developers, startups, and businesses looking for a scalable file handling and storage solution. It's particularly valuable for companies that need to process large volumes of media files, require custom API integration, or want to optimize media delivery for better website performance.
Uploadcare's answer
Uploadcare's answer
While Uploadcare products have been disrupting the traditional content delivery market since 2011, the company has now become a reliable technologicalpartner in marketplaces, e-commerce, e-learning, SaaS, and healthcare industries.
Uploadcare's answer
The platform fits the developers' needs, from building passion projects and simple websites to large-scale applications managing tons of digital media.
Based on our record, Scikit-learn should be more popular than Uploadcare. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this tutorial, youโll create a Next.js project with TailwindCSS and build custom authentication pages for Clerk without the watermark. This means youโll create a custom Clerk authentication component, allowing you to have a UI without the Clerk branding in the authentication component. Youโll then set up file uploads using Uploadcare and create custom theming with Shadcn UI for light and dark modes. A real-time... - Source: dev.to / over 1 year ago
There are some services out there like https://uploadcare.com/ and https://www.filestack.com/ but they offer lots of stuff and are not cheap. My idea is to have an APIaaS and offer simpler ways to integrate with one or multiple providers. Files could be saved to the customers' accounts. Features could include transformations, compression, conversion, spend management and insights, etc. Not sure if that sounds... - Source: Hacker News / almost 2 years ago
Feel free to learn more about Uploadcare, and explore other tutorials, such us how to upload files with React or Angular, or considering what kind of magic you can do with the uploaded images following our extracting colors guide ๐จ. - Source: dev.to / about 3 years ago
Sign up for an Uploadcare account: Go to the Uploadcare website and sign up for an account. You will need to provide your email address and create a password. - Source: dev.to / over 3 years ago
Only answer: Https://uploadcare.com/. Source: about 4 years ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 3 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 3 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 4 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 6 months ago
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Filestack - Simple file uploader and robust APIs for uploading, transforming, and delivering any file into your app. Filestack is a collection of tools and powerful APIs that make it simple to upload, transform, and deliver content.
NumPy - NumPy is the fundamental package for scientific computing with Python
Cyberduck - A libre FTP, SFTP, WebDAV, S3, Backblaze B2, Azure & OpenStack Swift browser.
OpenCV - OpenCV is the world's biggest computer vision library