Fast and accurate AI powered file content types detection
- deep-learning
- filetype
- keras-classification-models
- keras-models
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Fast and accurate AI powered file content types detection
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
Refine high-quality datasets and visual AI models
Fast and Accurate ML in 3 Lines of Code
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
A Versatile and Accurate Monocular SLAM
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Native speech-to-text for Linux - Fast, accurate, private, and hackable system-wide dictation
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Fast, accurate OCR with correctness assessment.
A dataset of millions of news articles scraped from a curated list of data sources.
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
Accurate Bayesian sentence tokenizer in Ruby.
A curated dataset of malware and benign Windows executable samples for malware researchers
A fast and accurate rule-based sentence segmentation tool for Ruby.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
A curated list for resources on Neuraxle.