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Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
The Dark Risk of Large Language Models WIRED UK provides machine-learning models, research, training resources, or evaluation tools.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Lightly is a computer vision framework for self-supervised learning.
Creates or edits images with generative models and visual controls.
Creates or edits images with generative models and visual controls.
AI-powered design tools including image generation, background removal, and creative templates.
Creates or edits images with generative models and visual controls.
Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
Dezgo - Text-to-Image AI generator creates or edits images with generative AI and text-based controls.
Real-Time Latent Consistency Model Text to Image creates or edits images with generative AI and text-based controls.
Real-Time Latent Consistency Model Text-to-Image-Lora-SD1.5 creates or edits images with generative AI and text-based controls.
Wiki LLM List is a Wikipedia reference page for background information, comparisons, and linked sources.
A DeepSeek-native terminal coding agent in Rust with OS-level sandboxing, persistent goal mode, background tasks, and verification gates.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
A lightweight set of tools for loading and sharing data in data science projects.
Lightweight library to build and train neural networks in Theano.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.