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WebApp-Computer-Vision-streamlit
Computer Vision application in the webYOLOv3-for-custum-objects
This repository illustrates the steps for training YOLOv3 and YOLOv3-tiny to detect fire in images and videos. First, a fire dataset of labeled images is collected from the internet. The images with their annotations have been prepared and converted into YOLO format and put into one folder to gather all the data. Therefore, the data folder contains images ('*jpg') and their associated annotations files ('.txt') with the same name.docker-streamlit-app
Run streamlit web application, test and deploy to a cloud service (GCP, AWS, Heroku)tuto-python-anaconda-docker
A project to quickly setup a python project using anaconda packages and Dockercomputervision-dashboard
Apply Deep learning models for Computer Vision using StreamlitImage-classification-of-MNIST
This repository contains notebooks for image classification of the MNIST datasetcomputer-vision-dashboard-app
object_detection_yolo_opencv
This repository contains code of object detection application using YOLO model from darknet with dnn module of OpenCVApp-Molecule-Prediction
This project predict basic molecule's properties, from its fingerprint features, using machine learningDeep-Learning-GAN-Python-App
This app convert an image of a horse 2 an image of zebra using a cycle GAN modelaminehy.github.io
http://aminehy.github.io/COVID-19-Prediction
This project consists of predicting COVID-19 cases using World Health Organizationcalcul_impot_python
Mini projet en python pour le calcul de l'impotYOLOv3-Caffe-TensorRT
articles
Kaggle-Categorical-Feature-Encoding-Challenge-II
slides
Docker-TensorRT-OpenCV-Python3
Docker image with CUDA, TensorRT, cuDNN, Python3, OpenCV 3.4.6docker-fastapi-ml
This is the docker container I use to serve my machine learning model in a (fast)APIModel-Optimization-and-Inference-with-TensorRT
This repository contains codes that illustrates how to perform Image classification by importing pre-trained model and perform inference with TensorRT using Caffe, ONNX, UFF parsers.Love Open Source and this site? Check out how you can help us