unsupervised-machine-learning

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

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

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)

HE —— “螺旋熵减机”

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.

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

theory of helix—— “螺旋论（可用来构建信息熵减机、及自然演化熵减机系统等）”

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

Genetic algorithm for unsupervised machine learning in Go.

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

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

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

pyMCR: Multivariate Curve Resolution for Python

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to grow and teach Artificial Neural Networks without back propagation