Pinned Repositories
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
AIfES_for_Arduino
This is the Arduino® compatible port of the AIfES machine learning framework, developed and maintained by Fraunhofer Institute for Microelectronic Circuits and Systems.
appendix
This repository holds the Appendix Documents for the EdX TinyML Specialization
AS73211-Colorimeter-STM32F7
Demo project for ams AS73211 XYZ sensor with mikromedia+ for STM32F7
Atlas-Scientific-EZO-python
audio_classification_CNN_ESC-50
Audio classification model which uses CNN to train ESC-50 dataset.
audio_classification_keras
Audio classification using Keras with ESC-50 dataset.
audio_embeddings
Audio search using Azure Cognitive Search
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Mlamrini's Repositories
Mlamrini/water-quality-lorawan-dragino-pi
Reads Atlas Scientific EZO water quality sensors, and sends their readings over LoRaWAN via a Dragino Raspberry Pi hat.
Mlamrini/MDPI-Water-Smart-Water-Solutions-with-Big-Data
Material for the article published in this journal
Mlamrini/kapre
kapre: Keras Audio Preprocessors
Mlamrini/ESC-50
ESC-50: Dataset for Environmental Sound Classification
Mlamrini/appendix
This repository holds the Appendix Documents for the EdX TinyML Specialization
Mlamrini/audio_classification_CNN_ESC-50
Audio classification model which uses CNN to train ESC-50 dataset.
Mlamrini/YAMNET-Sound-Classification-python
tflite based light weight sound classification using pretrained YAMNET
Mlamrini/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Mlamrini/YAMNet_transfer
Mlamrini/AS73211-Colorimeter-STM32F7
Demo project for ams AS73211 XYZ sensor with mikromedia+ for STM32F7
Mlamrini/Atlas-Scientific-EZO-python
Mlamrini/InWaterSense
Ontologies for Intelligent Water Quality Management through Wireless Sensor Networks
Mlamrini/MNIST-Using-K-means
It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the Pixels of the Numbers from 0 to 9 and we have to Classify the Numbers Accordingly. I have Used K-Means Classification Algorithm.
Mlamrini/MicroPython_AS7262X_driver
MicroPython driver for AS7262/AS7263 nano spectrometer sensor
Mlamrini/audio_classification_keras
Audio classification using Keras with ESC-50 dataset.
Mlamrini/R-pi-database-