Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
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Updated
Mar 24, 2023 - Python
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
Real-time GCC-NMF Blind Speech Separation and Enhancement
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)
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
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
Fast and explainable clustering in Python
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
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'
Repository For Codes And Concept Taught in Udemy Course
Hierarchical self-organizing maps for unsupervised pattern recognition
Invariant representation learning from imaging and spectral data
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.
HEAD-QA: A Healthcare Dataset for Complex Reasoning
Disentangling Motion, Foreground and Background Features in Videos
"Unsupervised Paraphrase Generation using Pre-trained Language Model."
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