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/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
IamHussain503/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
IamHussain503/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
IamHussain503/baribari
bari bari
IamHussain503/Competitive_data_science_How-to_win_kaggle_competition
This repo contains the solved labs and python notebooks of the coursera module Competitive_data_science_How to_win_kaggle_competition
IamHussain503/data_structures
This Repo contains data structures codes in python
IamHussain503/datasets
NCBI Datasets is an experimental resource for finding and building datasets
IamHussain503/ETG_intermediate_python_projects
This repository contains Intermediate level python projects
IamHussain503/GAZE
point to multi point gaze
IamHussain503/Intermidiate_Python_CodeAcademy
This is the notebook of Codeacademy intermidiate python code
IamHussain503/katacoda-scenarios
Katacoda Scenarios
IamHussain503/legalagent
IamHussain503/m2music
tst the new repo
IamHussain503/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
IamHussain503/ML_projects
The repo will be uploaded with ML projects regularly
IamHussain503/my_front
for front end customization
IamHussain503/myexp2612
IamHussain503/NewMusic
new metric intro
IamHussain503/NewMusic_auto
auto update and wandb
IamHussain503/opencv
Open Source Computer Vision Library
IamHussain503/pdf_qa
pdf question answer
IamHussain503/Python
All Algorithms implemented in Python
IamHussain503/Python-tkinter-SuperMarketApp-experimental
Super Market experimental app designed in tkinter
IamHussain503/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
IamHussain503/shaukat_local
IamHussain503/Silenium_Python
contains the silenium code for scraping
IamHussain503/testoauth
IamHussain503/TextBrewer
A PyTorch-based knowledge distillation toolkit for natural language processing
IamHussain503/themlsbook
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
IamHussain503/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite