Pinned Repositories
50projects50days
50+ mini web projects using HTML, CSS & JS
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
Face-Recognition-and-Face-verification
Here you will build a face recognition system. Many of the ideas presented here are from FaceNet. In lecture, we also talked about DeepFace. Face recognition problems commonly fall into two categories: Face Verification - "is this the claimed person?". For example, at some airports, you can pass through customs by letting a system scan your passport and then verifying that you (the person carrying the passport) are the correct person. A mobile phone that unlocks using your face is also using face verification. This is a 1:1 matching problem. Face Recognition - "who is this person?". For example, the video lecture showed a face recognition video (https://www.youtube.com/watch?v=wr4rx0Spihs) of Baidu employees entering the office without needing to otherwise identify themselves. This is a 1:K matching problem. FaceNet learns a neural network that encodes a face image into a vector of 128 numbers. By comparing two such vectors, you can then determine if two pictures are of the same person.
flutter_particle_clock
The Grand Prize-winning entry of the #FlutterClock challenge.
MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Practical_Web_Scrapping_Python_data_science
this is a repository which will containt step by step approach to learn pratcical web scraping
Q2-DL_Assignments
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
technician_Location_Flask_restplus
this back end code is to locate the technicians and maintenance pesonnel near by
IamHussain503's Repositories
IamHussain503/brain-tumor-detection
In this repository, I have explained the process of brain tumor detection using python and sklearn
IamHussain503/Face-Recognition-and-Face-verification
Here you will build a face recognition system. Many of the ideas presented here are from FaceNet. In lecture, we also talked about DeepFace. Face recognition problems commonly fall into two categories: Face Verification - "is this the claimed person?". For example, at some airports, you can pass through customs by letting a system scan your passport and then verifying that you (the person carrying the passport) are the correct person. A mobile phone that unlocks using your face is also using face verification. This is a 1:1 matching problem. Face Recognition - "who is this person?". For example, the video lecture showed a face recognition video (https://www.youtube.com/watch?v=wr4rx0Spihs) of Baidu employees entering the office without needing to otherwise identify themselves. This is a 1:K matching problem. FaceNet learns a neural network that encodes a face image into a vector of 128 numbers. By comparing two such vectors, you can then determine if two pictures are of the same person.
IamHussain503/Transfer_learning_VGG16_Vs_InceptionV3
Comparison of results of transfer learning trained model VGG16 and model InceptionV3.
IamHussain503/tensorflow_non_max_supression_example
this repo contains most basic usage of tensorflow non_max_supression with concrete example
IamHussain503/Pandas_fill_milliseconds_timestamp
Create and fill missing timestamps up to 100 millisecond accuracy using pandas and moving average with 5 previous data points in X,Y,Z axis
IamHussain503/Data_Science_pandas
IamHussain503/WQU-Module-II
IamHussain503/Single-Image-Dehazing-Python
python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
IamHussain503/BootCamp2020Samples
IamHussain503/postion-quality-sports-prediction
IamHussain503/Q2-DL_Assignments
IamHussain503/AsiignmentsQ2
IamHussain503/PIAIC-Deep-Learning-Assignments
This repository contains the code for Deep Learning Assignments given by PIAIC.
IamHussain503/Embedded-RUST-STM32F303-projects
this repository will contain the mini projetcs done with RUST and STM32 F303 baord using sensors and actuators
IamHussain503/kaggle-api
Official Kaggle API
IamHussain503/End-to-End-Time-Series
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
IamHussain503/Deep-learning-with-Python-book-practice
Deep learning with Python book practice
IamHussain503/AI-Q2-learning-resources
AIC Quarter 2 Learning and practice resources
IamHussain503/Q2PandasAssignment
IamHussain503/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
IamHussain503/bootcamp-2021
Fusing Serverless Cloud Computing, Infrastructure as Code, Graph Databases, AI, and IoT Technologies and preparing for Operation Unicorn Startups
IamHussain503/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
IamHussain503/50projects50days
50+ mini web projects using HTML, CSS & JS
IamHussain503/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
IamHussain503/discovery
Discover the world of microcontrollers through Rust!
IamHussain503/webthing-rust
Rust implementation of a Web Thing server
IamHussain503/PIAIC115352-Assignment4
IamHussain503/PIAIC115352-Assignment3
IamHussain503/Batch_4_35_Quarter2_Sunday
IamHussain503/piaic_q2_class_reseouces