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A tool to support using classification models in low-power and microcontroller-based embedded systems.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Natural language detection library for Rust. Try demo online: https://whatlang.org/
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Machine Learning inference engine for Microcontrollers and Embedded devices
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Train and visualize Hierarchical Attention Networks
ALBERT model Pretraining and Fine Tuning using TF2.0
Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text