Detectron2 is Facebook AI Research's next generation library providing detection and segmentation algorithms, succeeding Detectron and maskrcnn-benchmark. It supports computer vision research projects and production applications at Facebook and includes capabilities such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, ViTDet and MViTv2. Models can be exported to TorchScript or Caffe2 format for deployment.
The tidyverse is an opinionated collection of R packages intended for data science. The packages share an underlying design philosophy, grammar, and data structures, and the complete set can be installed with one R command.
AI Timeline is a project that tracks the evolution of Artificial Intelligence by documenting significant milestones and releases from 2022 to present. It organizes entries by year, with each entry including details of the release and a linked source for the announcement.
Comicory is an AI comic generator for comic strips, manga, and comic books. Users write a story, choose a style, and keep character art consistent across panels. It supports script panels, character references, layouts, frame redraws, and multi-page PDF, PNG, and ZIP exports. A one-time grant of 10 starter credits is offered on signup without a card.
Fable Fiesta is a DnD and RPG tool that generates homebrew monsters, races, classes, characters and campaigns. It includes a Dungeon Master prep builder that creates regions, quest lines and characters, and an RPG video game creator that turns a DnD Campaign into an RPG video game based on DnD 5.5e rules. The video game generator is integrated with the monster and character generators.
GradGPT provides tools for grading college essays, profile evaluation, college matching and counseling, built by former admission officers. It scores essays and gives line-by-line feedback without writing the essay for the student. It also offers application guides, college search, a letter of recommendation builder and admit profiles.
MLU-Explain is an education initiative from Amazon that teaches machine learning concepts through visual essays. It publishes interactive articles on topics such as neural networks, logistic regression, reinforcement learning, ROC and AUC, cross-validation, random forests, and decision trees.
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The tidyverse is an opinionated collection of R packages intended for data science. The packages share an underlying design philosophy, grammar, and data structures, and the complete set can be installed with one R command.
AI Timeline is a project that tracks the evolution of Artificial Intelligence by documenting significant milestones and releases from 2022 to present. It organizes entries by year, with each entry including details of the release and a linked source for the announcement.
Comicory is an AI comic generator for comic strips, manga, and comic books. Users write a story, choose a style, and keep character art consistent across panels. It supports script panels, character references, layouts, frame redraws, and multi-page PDF, PNG, and ZIP exports. A one-time grant of 10 starter credits is offered on signup without a card.
Fable Fiesta is a DnD and RPG tool that generates homebrew monsters, races, classes, characters and campaigns. It includes a Dungeon Master prep builder that creates regions, quest lines and characters, and an RPG video game creator that turns a DnD Campaign into an RPG video game based on DnD 5.5e rules. The video game generator is integrated with the monster and character generators.
GradGPT provides tools for grading college essays, profile evaluation, college matching and counseling, built by former admission officers. It scores essays and gives line-by-line feedback without writing the essay for the student. It also offers application guides, college search, a letter of recommendation builder and admit profiles.
MLU-Explain is an education initiative from Amazon that teaches machine learning concepts through visual essays. It publishes interactive articles on topics such as neural networks, logistic regression, reinforcement learning, ROC and AUC, cross-validation, random forests, and decision trees.
