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karimul's Projects

anomaly_detection icon anomaly_detection

This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-ebm icon awesome-ebm

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

awesome-go icon awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-wasm icon awesome-wasm

😎 Curated list of awesome things regarding WebAssembly (wasm) ecosystem.

bpmn icon bpmn

BPMN 2.0 execution engine

bpmn-engine icon bpmn-engine

BPMN 2.0 execution engine. Open source javascript workflow engine.

csgmcmc icon csgmcmc

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

docformer icon docformer

Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)

doctr icon doctr

Document Text Recognition (DocTR) made seamless, high-performing & accessible to anyone using Deep Learning for OCR-related tasks.

dsebm icon dsebm

Deep Structured Energy Based Model

dsebm-1 icon dsebm-1

implementation of DSEBM(https://arxiv.org/abs/1605.07717)

e3outlier icon e3outlier

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network

ebm-anatomy icon ebm-anatomy

PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"

ebm-buffer-pcd-pytorch icon ebm-buffer-pcd-pytorch

An energy based model implemented in Pytorch and trained with multiple persistent markov chains.

ebm-sampling icon ebm-sampling

implementation of various SGLD sampling algorithm on Energy Based Models

edm icon edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

f-ebm icon f-ebm

Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020

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