aritonangjo95 Goto Github PK

ai-capstone-project-with-deep-learning

apple_stock_price_prediction

appstore

Scraped Apple's App Store's most popular apps using scrapy, and performed some Exploratory Data Analysis on data, after preprocessing

awesome-coding-camps

A curated list of awesome Coding Bootcamps and websites to help you boost your career in Programming

casia2groundtruth

Groundtruth images of tampering dataset CASIA 2.0

code-for-learn-machinelearning

coursera_capstone

Coursera Capstone Project for Applied Data Science Capstone

demo

dl1

Test

dlcvtf2

Deep Learning for Computer Vision with TensorFlow 2.0

dtale

Visualizer for pandas data structures

face_recognition

The world's simplest facial recognition api for Python and the command line

frida-labs

The repo contains a series of challenges for learning Frida for Android Exploitation.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

in-quiz-questions

:point_right: Linkedin quiz (Assessment) answers and questions (aws-lambda, rest-api, javascript, react, git, html, jquery, maven, mongodb, xml, java, css, python ...) :sunglasses:

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

keras

Deep Learning for humans

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

machine-learning-for-imbalanced-data

Machine Learning for Imbalanced Data, published by Packt

mlops-zoomcamp

Free MLOps course from DataTalks.Club

models

Models and examples built with TensorFlow

nlp-recipes

Natural Language Processing Best Practices & Examples

notebookforgis

objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

realtime-face-liveness-detector

Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV

scikit-learn

scikit-learn: machine learning in Python

skillsnetwork

sklearn_tutorial

Materials for my scikit-learn tutorial

smartcctv-camera

Build your own home Raspberry Pi-powered surveillance IoT camera with Face recognition, access your live feed from any device