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Name: STUDY_LOVE_2018
Type: User
Name: STUDY_LOVE_2018
Type: User
In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Ravalโs 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.
A Simple Neura Network with 2 hidden layers
Generative Adversarial Nets for Matlab
The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation
Homework completed in Spring for CMU Course Computer Vision 16-720
two view structure from motion
3D U-Net++implementation in TensorFlow and Keras
Superfine Lab Matlab analysis code
The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
source code of the paper on Agent based modelling of Emergency Evacuation under Panic
Abnormal behavior detection in the video surveillance based on yolo darknet
This project applied computer vision and mechine learning methods aimed to detect abnormal behaved object in crowd.
Python based anomaly detection in videos
Codes for "Abnormal Event Detection in Videos using Spatiotemporal Autoencoder".
Abnormality Detection using PCA approach
Source code for abnormal detection on MIT video surveillance dataset using Nonnegative Matrix Factorization
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
abnormal behavior detection using CNN and RNN
Abnormal Crowd Detection Implementation with Python
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)
Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks
CS676 course project
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.