IPLSimulatorA ball-by-ball IPL T20 cricket simulator, you can make your own custom games, teams, or even simulate the entire tournament (all 7200 balls of it!)
Stars: ✭ 25 (+19.05%)
Mutual labels: cricket, ipl
Utlyz-CLILet's you to access your FB account from the command line and returns various things number of unread notifications, messages or friend requests you have.
Stars: ✭ 30 (+42.86%)
Mutual labels: cricket, cricbuzz
oms.py🔨 A micro-framework for the OMS, and code written in Python 3.6+.
Stars: ✭ 106 (+404.76%)
Mutual labels: flask-api
logtoesDemo of Asynchronous pattern (worker) using Python Flask & Celery
Stars: ✭ 49 (+133.33%)
Mutual labels: flask-api
cricliveLive Cricket Scores in Command Line.
Stars: ✭ 22 (+4.76%)
Mutual labels: cricket
Audio-Classification-using-CNN-MLPMulti class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
Stars: ✭ 36 (+71.43%)
Mutual labels: cricket
Water-classifier-fastaiDeploy your Flask web app classifier on Heroku which is written using fastai library.
Stars: ✭ 37 (+76.19%)
Mutual labels: flask-api
flask-skeleton-apiA boilerplate Python API made with Flask used by Ceuma Group developers team.
Stars: ✭ 18 (-14.29%)
Mutual labels: flask-api
cricketdataInternational cricket data for men and women, Tests, ODIs and T20s
Stars: ✭ 66 (+214.29%)
Mutual labels: cricket
flask-arrestedFlask-Arrested: A Framework For Rapidly Building REST APIs with Flask.
Stars: ✭ 40 (+90.48%)
Mutual labels: flask-api
TF2DeepFloorplanTF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Stars: ✭ 98 (+366.67%)
Mutual labels: flask-api
Flask-Deep-Learning-NLP-APIFlask API to productize a document classification model. Classification model was built using Keras with tensorflow backend
Stars: ✭ 26 (+23.81%)
Mutual labels: flask-api
ASD-ML-APIThis project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…
Stars: ✭ 14 (-33.33%)
Mutual labels: flask-api
scraped-tvtime-apiA free TVTime API based on scraping TVTime website. No API key required
Stars: ✭ 23 (+9.52%)
Mutual labels: flask-api
ICC-2019-WC-predictionPredicting the winner of 2019 cricket world cup using random forest algorithm
Stars: ✭ 41 (+95.24%)
Mutual labels: cricket
NectusA boilerplate Flask API for a Fullstack Project with some additional packages and configuration prebuilt. ⚙
Stars: ✭ 32 (+52.38%)
Mutual labels: flask-api
programmingbuddies-apiAPI backend for Programming Buddies (projects management)
Stars: ✭ 14 (-33.33%)
Mutual labels: flask-api
ChampA Telegram bot combined with python to serve some basic functions like weather, music charts, cricket score and much more.
Stars: ✭ 22 (+4.76%)
Mutual labels: cricket