abhisheka456 Goto Github PK

2021-rw-mop

2021-so-bco

2022-so-bo

Single Objective Bound Constrained Benchmark

abhisheka456.github.io

Github Pages of Dr. Abhishek Kumar

advanceddropout

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization (IEEE TPAMI 2021)

agsm-de

An Approximated Gradient Sign Method Using Differential Evolution For Black-box Adversarial Attack

aspc-da

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

bayesbimodaltest

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bnn

Bayesian Neural Network in PyTorch

byol-pytorch

PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

c3

PyTorch Implementation of C3

cdr

Implementation of CDR - Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction

chatgpt-prompts-for-academic-writing

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

clone

Clustering tool for biomolecular structural ensembles and data in general.

cms

Official implementation of Constrained Mean Shift Clustering

cnak

Cluster number assisted K-means

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

dbcv

dcn-new

Updated version of DCN

dcv

Code for TNNLS paper "Deep Clustering and Visualization for End-to-End High Dimensional Data analysis"

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

dec-pytorch

Deep Embedding for Clustering (accuracy can reach over 87.5%)

dec_pytorch_tutorial

deep-clustering-network

PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.

deep-compression

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

deepdpm

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]

deeprecursiveembedding

Deep Recursive Embedding for High-Dimensional Data

dekm

DEKM