Dibakar (Dibakar1)

Dibakar1

Geek Repo

Company:Hertz Labs

Location:IISc Bangalore

Home Page:https://www.kaggle.com/dibakarsil/datasets

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hertzlabs

Dibakar's repositories

CNN-for-Noise-identification-and-denoising-Images

A clean image, and it's noisy version, blind denoising and FFDNet denoised images.

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Hidden-Period-detection-and-Signal-Reconstruction

This work is inspired by Prof. P P Vaidyanathan on his contribution towards the Ramanujan Periodic Transform

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LibADMM

A Library of ADMM for Sparse and Low-rank Optimization

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ADMM-NeuralNetworks

Training Neural Networks Without Gradients: A ADMM Approach

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auto-label

Improves throughput of data-set labelleing

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awesome-human-pose-estimation

Human Pose Estimation Related Publication

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CUDA-Connected-Component-Labelling

Parallel GPU Implementation of Connected Component Labelling (CCL). Connected-component labeling is used in computer vision to detect connected regions in binary digital images

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gpu_programming

In this repository, I will be developing some basic signal processing/algebraic kernels using numba cuda and pycuda

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Music-Instruments-Identification

This work is based on a part of Music Information Retrieval area. If music instruments are being played individually, whether or not we are able to identify accurately which instrument is actually being played.

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CS229_ML

🍟 Stanford CS229: Machine Learning

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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DeepFreq

Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"

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FISTA_Python

Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.

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GridBasedDBSCAN

Python3 implementation of Grid-based DBSCAN for radars, based on Kellner et al. 2012

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Human-Pose-Estimation-Papers

2D&3D human pose estimation

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learnable-ISTA

An implementation of learnable sparse coding for the purpose of image demonising

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LISTA-CPSS

[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.

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ncreg

A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

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nn-zero-to-hero

Neural Networks: Zero to Hero

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PRML

PRML algorithms implemented in Python

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Signal-Processing-algorithms

This repository/project will contain the python scripts of various signal processing algorithms implemented by me

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thundersvm

ThunderSVM: A Fast SVM Library on GPUs and CPUs

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TISTA

Trainable ISTA for sparse signal recovery

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