Semi-Automated Spike Sorting in Matlab, Various Techniques
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Updated
Mar 28, 2017 - MATLAB
Semi-Automated Spike Sorting in Matlab, Various Techniques
Educational research project
NLP on customer tweets to Apple Support to uncover topics using NMF (unsupervised modeling), and classify tweets as product types based on users' initial tweets using CorEx (semi-supervised modeling)
Experiments with self-supervised and semi-supervised deep learning algorithms
Colorize Images with a Generative Adversarial Network (GAN)
Tools for handling un-labeled training images for Angelina Braille Reader
Semi-supervised clustering via Markov Aggregation using pairwise constraints. Paper on arxiv: https://arxiv.org/abs/2112.09397
Unofficial implementation of "MixMatch: A Holistic Approach to Semi-Supervised Learning"
Semi-Supervised Learning: Pseudo-labeling based methods Template Code
Autonomous semi-supervised machine learning application to detect the quality of electronic wafers
Semi-Supervised Semantic Segmentation with Cross Teacher Training
SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
[NeurIPS 2022] Okapi: Generalising Better by Making Statistical Matches Match
Look around a little. Catch good stuff.
The following study, through which we can generate X-ray images of the chest region in a semi-conditional manner, by taking advantage of the probability distributions.
ISI 7th Summer School Project on implementing 2-layer GCN on CORA, CiteSeer, PubMed datasets, using PyTorch, and analyzing Oversmoothing by going deep upto 1024 layers
Shadow semi-supervised consistency regularization PyTorch library
CIFAR10 PyTorch implementation of "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation
Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired during training, where normality and anomaly patterns are built using syntetic data
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