Med-BERT, contextualized embedding model for structured EHR data

Official code for the paper "Unsupervised cardiac MRI phenotyping with 3D diffusion autoencoders reveals novel genetic insights"

Self-supervised representation learning combining GTEx histology, RNA-seq and WGS

Predictive Modeling and Sentiment-Driven Recommendation System for Enhancing Customer Satisfaction in E-commerce

Simple Linear implementation with python

Curated list of project-based tutorials

End-to-end machine learning project about twitter sentiment analysis.

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

Lightweight Adapting for Black-Box Large Language Models

A GUI client for Windows, Linux and macOS, support Xray and sing-box and others

This GitHub repository contains the code implementation for the dynamic co-clustering approach proposed in the article "A Deep Dynamic Latent Block Model for the Co-clustering of Zero-Inflated Data…

🦜🔗 Build context-aware reasoning applications

High-performance In-browser LLM Inference Engine

Repository dedicated to the deep Nonnegative Matrix Factorization with beta-divergence

A latent text-to-image diffusion model

LISA Traffic Signs Dataset for Pytorch. For Classification. 32x32 images. I use this to reproduce the Activation Clustering Results.

Lung and Colon Cancer Histopathological Image Dataset

Dimensionality Reduction Code for Images using Nonnegative Matrix Factorization

A gentle introduction to nonnegative matrix factorization (NMF), with an application to image compression 🖼️ 🎭 🎨

Profile-Likelihood Biclustering (R package)

A novel model for multi-view clustering

Efficiently computes derivatives of NumPy code.

I trained a CNN to solve a particular classification problem(SVHN&MNIST), then treated input image as optimization variable and optimized for the image that maximally excites a certain layer. I opt…

ML project based on image pre-processing, dimension reduction with PCA algorithm and classification with KNN, SVM algorithms and on creating and implementing an algorithm for Regularized non-Negati…