Pinned Repositories
2021-RW-MOP
2021-SO-BCO
2022-SO-BO
Single Objective Bound Constrained Benchmark
EDAPP
EDA++: Estimation of Distribution Algorithms with Feasibility Conserving Mechanisms for Constrained Continuous Optimization
GridShift
HCDI-k-means
QuickMeanShiftPP
sCMA-ES
spherical-search
Optimization Algorith,
uMAgES
abhisheka456's Repositories
abhisheka456/HCDI-k-means
abhisheka456/AugSeg
[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
abhisheka456/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
abhisheka456/Awesome-Semi-Supervised-Semantic-Segmentation
A summary of recent semi-supervised semantic segmentation methods
abhisheka456/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
abhisheka456/bnn
Bayesian Neural Network in PyTorch
abhisheka456/C3
PyTorch Implementation of C3
abhisheka456/Causal-Unsupervised-Segmentation
Official PyTorch Implementation code for realizing the technical part of Causal Unsupervised Semantic sEgmentation (CAUSE) to improve performance of unsupervised semantic segmentation. (Under Review)
abhisheka456/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.
abhisheka456/DBCV
abhisheka456/DCV
Code for TNNLS paper "Deep Clustering and Visualization for End-to-End High Dimensional Data analysis"
abhisheka456/DEC-keras
Keras implementation for Deep Embedding Clustering (DEC)
abhisheka456/DEC-Pytorch
Deep Embedding for Clustering (accuracy can reach over 87.5%)
abhisheka456/deep-compression
Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
abhisheka456/DIVA
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder
abhisheka456/dpc-matlab
dpc算法实现
abhisheka456/FDPC
abhisheka456/GADropout
abhisheka456/kernel-kmeans
abhisheka456/mgc
The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"
abhisheka456/Microsoft-Activation-Scripts
A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
abhisheka456/MSS-DE-DRL
Repository for Online Mutation Strategy Selection in Differential Evolution through Deep Reinforcement Learning
abhisheka456/ProPos
Self-Supervised Learning for Deep Clustering (TPAMI 2022)
abhisheka456/saved_models
abhisheka456/self_supervised
Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.
abhisheka456/Ultra-DPC
Ultra-DPC:Ultra-scalable and Index-free Density Peak Clustering
abhisheka456/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
abhisheka456/UP-DPC
UP-DPC: Ultra-scalable Parallel Density Peak Clustering
abhisheka456/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
abhisheka456/wsdl2023_segmentation