imyjk729/Memristor
In-sensor reservoir computing for language learning via two-dimensional memristors
This project helps researchers simulate the classification of data, specifically for language learning applications using memristor technology. It takes neuron output currents (which you'd model yourself) and applies common machine learning models like support vector machines to classify the data. This is for scientists and engineers working on novel in-sensor computing architectures for AI.
No commits in the last 6 months.
Use this if you are a researcher developing and testing in-sensor reservoir computing systems, particularly those using memristors for language processing.
Not ideal if you need a complete, ready-to-use language learning application or if you don't have existing neuron output current data to preprocess and classify.
Stars
24
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 16, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/imyjk729/Memristor"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NTMC-Community/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
NTMC-Community/MatchZoo-py
Facilitating the design, comparison and sharing of deep text matching models.
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
opencv/opencv_zoo
Model Zoo For OpenCV DNN and Benchmarks.
gizatechxyz/Giza-Hub
Curated list of ZKML models and use cases made with Giza