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100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-system-design-resources

This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems

barcode-detector

Barcode reader using pyzbar and OpenCV A simple barcode reader program using pyzbar and OpenCV libraries. Install OpenCV for Python. OpenCV(Open Source Computer Vision library) is the library used for performing computer vision functions. Pyzbar: It is a library used to decode QR codes and barcodes in the image.

binary-image-classification

car-number-plate-detection-recognition

detects car number plate and identifies car number by using opencv and py tesseract

chatbot-rnn

A toy chatbot powered by deep learning and trained on data from Reddit

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

data-preprocessing

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

data-preprocessing-with-python

Implementation of Data Preprocessing techniques such as handling missing values, noise smoothing, PCA, etc.

deepface

Lightweight Facial Analysis Framework for Python Including Face Recognition and Demography (Age, Gender, Emotion and Race)

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。

django-practice-example

drawing-with-object-taking

drawing shapes in live webcam feed by tracking moving objects

driving-safety-sleep-deprivation-prevention

Nowadays, more and more professions require long-term concentration. Drivers must keep a close eye on the road, so they can react to sudden events immediately. Driver fatigue often becomes a direct cause of many traffic accidents. Therefore, there is a need to develop the systems that will detect and notify a driver of her/him bad psychophysical condition, which could significantly reduce the number of fatigue-related car accidents. However, the development of such systems encounters many difficulties related to fast and proper recognition of a driver’s fatigue symptoms. One of the technical possibilities to implement driver drowsiness detection systems is to use the vision-based approach.

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

face-detection-alignment-using-mtcnn

facenet

Face recognition using Tensorflow

geojson.io

A quick, simple tool for creating, viewing, and sharing spatial data

gpxpy

gpx-py is a python GPX parser. GPX (GPS eXchange Format) is an XML based file format for GPS tracks.

hasura-nodejs-auth

iot-home-automation

The designed home automation system can work as an intelligence system as it will sense the motion of human body and will react according to that.We have implemented the concept of Internet of things. The main goal of this system is to provide as much comfort as possible to a common household without much of training and difficulty. All the household things would just be one touch or voice away. And will be operated from anywhere in the world as it will be operated through internet

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

live-location-tracking

live location tracking using ( React + NodeJS + express + postgis )

live-spam-detection

live locally hosted website to check spam messages, using nltk , naive bayes, flask, and pickle

mqtt-stresser

Load testing tool to stress MQTT message broker

multi-class-text-classification-using-naive-svm-log-keras

demonstration of multi class text classification using naive, svm, log & keras

object-detection-api

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

oidv4_toolkit

Download and visualize single or multiple classes from the huge Open Images v4 dataset