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Published directory entries matching your search.
Sauna is a proactive AI teammate described by its site as an AI agent with a computer of its own. It researches, follows up and builds apps for users and teams, and connects to tools such as Linear, GitHub, Notion, Gmail and Slack. It runs in the cloud and is available on the web, iOS, iMessage, Slack and email.
SimpleCV is an open source framework for building computer vision applications, providing access to libraries such as OpenCV without requiring knowledge of bit depths, file formats, color spaces or buffer management. The platform uses Python, and examples include connecting to a camera, binarizing images and drawing text.
StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
GFPGAN is a face restoration algorithm for old photos or AI-generated faces, created by tencentarc and available on Replicate. The model runs on Nvidia L40S GPU hardware and costs approximately $0.0076 to run. It is also open source and can be run on a personal computer with Docker.
tensorpack is an open-source neural network training interface built on TensorFlow with a focus on training speed and flexibility. Hosted on GitHub, the project provides feature documentation and example materials covering use cases including computer vision, reinforcement learning, and speech or natural language processing.
Test your ability to tell if an image is human or computer generated.
torchvision is a package of popular datasets, model architectures and common image transformations for computer vision. The repository holds documentation, benchmarks, examples, packaging, references and tests alongside the torchvision code. Installation instructions point to official guidance for stable torch and torchvision versions; building from source is covered on the contributing page.
VLFeat is an open-source library of computer vision algorithms focused on image understanding and local feature extraction and matching. Algorithms include SIFT, MSER, Fisher Vector, VLAD, k-means, SLIC superpixels, and SVM training. It is written in C with MATLAB interfaces and supports Windows, Mac OS X, and Linux.
