The Generative AI Landscape provides machine-learning models, research, training resources, or evaluation tools.
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CPU and GPU-accelerated Machine Learning Library.
CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
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.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
Clojure Fast Matrix Library - GPU and native CPU.
Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
High-performance, high-precision CPU, GPU, and memory profiler for Python.
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Analyzes structured data and helps produce queries, insights or visualizations.
AI landscape generated with a freeform GAN based on highway images, and further processed with a style GAN using an original charcoal drawing.
Supports teaching, studying or skills practice with AI-guided learning tools.
Works with speech, voice, music or other audio using machine-learning models.
Creates, rewrites or summarizes written content with language models.
Small models, one shared log, and a clear view of how agents behave in motion.
Deep learning based facial detector for Python coming with facial landmarks.
A Collection of Awesome Generative AI Applications.