Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

螺旋熵减系统

Real-time GCC-NMF Blind Speech Separation and Enhancement

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

螺旋熵减理论

Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification

PANDORA 💻

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Genetic algorithm for unsupervised machine learning in Go.

Fast and explainable clustering in Python

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

Building Recommendation Model for the electronics products of Amazon