Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Civitai creates or edits images with generative AI and text-based controls.
Turn simple shots into photoshoot-quality images. Realistic lifestyle scenes, on-model photos, clean cutouts. Detail-first results.
AI platform for computer vision and NLP.
Claude provides conversational AI for questions, tasks, and general assistance.
Documentation for Claude Prompts, covering setup, features, and practical usage.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Python library for data-centric AI and machine learning with messy, real-world data and labels.
Remove unwanted objects from photos, people, text, and defects from any picture for free. It.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
Creates or edits images with generative models and visual controls.
CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Clip Interrogator.ipynb creates or edits images with generative AI and text-based controls.
Creates or edits images with generative models and visual controls.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A machine learning library for Clojure built on top of Weka and friends.
Interop with R and Renjin (R on the JVM).
Natural Language Processing in Clojure (opennlp).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source library for implementing CI/CD in machine learning projects.
Cohere provides access to advanced Large Language Models and NLP tools.
Codecademy's Data Science provides machine-learning models, research, training resources, or evaluation tools.
Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.