Deep Learning in Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Machine Learning with Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
keras flask deploy webapp
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to...
arxiv sanity lite
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf...
Issue Label Bot
Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace....
ML CaPsule
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish...
Hey Jetson
Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
ML ProjectYard
This repo consists of multiple machine learning based projects with frontend
ecg mit bih
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using...
TF2DeepFloorplan
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and...
Recipe Generation from Food Image
An Application for Generating a cooking recipe consist of title, ingredients and instructions from an food image using Deep Learning.
deep learning training gui
Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no...
Automatic_Number_Plate_Recognition_YOLO_OCR
Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch