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2022aicitychallenge-track3

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

aicity2022-track3

aicity_action

Code and model for the AI City Challenge (CVPR 2022) Track 3 Action Detection

algorithms-explanation

Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.

androidmobilepentest101

Pentesting Android Application Course For Kids+ (English and Vietnamese edition)

awesome-mlops

A curated list of references for MLOps

coding-interview-university

A complete computer science study plan to become a software engineer.

cs-video-courses

List of Computer Science courses with video lectures.

cs112.l22.khcl

Design & Analysis of Algorithms

cybersecurity-handbook

Cybersecurity handbook by GuideSmiths

kndar

Codes for AIC 2022 submissions

linux-privilege-escalation

This cheatsheet is aimed at the OSCP aspirants to help them understand the various methods of Escalating Privilege on Linux based Machines and CTFs with examples.

lstm_stock_modeling

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

milktea-store

A Django web app for Milk Tea store

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

my-ctf-web-challenges

Collection of CTF Web challenges I made

objectdetectionimbalance

Lists the papers related to imbalance problems in object detection

pand-precise-action-recognition-on-naturalistic-driving

A solution for the 6th Aicity challenge workshop track 3. Temporal action localization is an important problem in computer vision. It is challenge to infer the start and end of action instances on small-scale datasets covering multi-view information accurately. In this paper, we propose an effective action temporal localization method to localize the temporal boundaries. Our approach in-cludes (i) a method integrating an action recognition network and a temporal action localization network, (ii) a post-processing method for selecting and correcting temporal boxes to ensure that the model finds accurate boundaries. In addition, the frame-level object detection information is also utilized. Extensive experiments prove the effectiveness of our method and we rank the 6th on the Test-A2 of the 6th AI City Challenge Track 3.

reading-paper

somhunter-ui

Ember.js UI for the SOMHunter tool.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stock-market-trend-analysis-using-hmm-lstm

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

synthtiger

Official implementation of SynthTIGER (Synthetic Text Image GEneratoR) ICDAR 2021

the-kaggle-book

Code Repository for The Kaggle Book, Published by Packt Publishing

vicap

Vietnamese Image Captioning