Pinned Repositories
2020
Materials for Applied Data Analysis CS-401, fall 2020
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Acoustic-direction-finding-using-single-acoustic-vector-sensor-under-high-reverberation
We propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.
ai-school
Various projects and examples for Artificial Intelligence. From Probabilistic Programming to Neural Networks.
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
AML-XAI-2
Exploring the creation of explainable AI for the task of Writer verification. Experimenting with techniques such as Probabilistic Graphical Models, Autoencoders, Siamese Networks, and Multi-Task Learning. Probabilistic Graphical modelling involves entropy learning and Sigmoid Structured CPD inference mechanism.
apkit
Audio Processing Kit -- a python library
Applied-Deep-Learning
Applied Deep Learning
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Grid-less-DOA
Sequential DOA Trajectory Estimation using Deep Complex Network and Residual Signals
ShreJais's Repositories
ShreJais/Grid-less-DOA
Sequential DOA Trajectory Estimation using Deep Complex Network and Residual Signals
ShreJais/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
ShreJais/CenterNet2
Two-stage CenterNet
ShreJais/CLUB
Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
ShreJais/ConvNeXt
Code release for ConvNeXt model
ShreJais/ddsp
DDSP: Differentiable Digital Signal Processing
ShreJais/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
ShreJais/deeplearning-models
A collection of various deep learning architectures, models, and tips
ShreJais/DL_Specialization_Coursera
ShreJais/flowpm
Particle Mesh simulation in TensorFlow
ShreJais/Gaussian-Processes-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
ShreJais/git_intro
Trying out git and learning how to use it.
ShreJais/GP-VAE
TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
ShreJais/icoCNN
Pytorch implementation of the icosahedral CNNs
ShreJais/icoDOA
Code repository for the paper Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
ShreJais/KDEpy
Kernel Density Estimation in Python
ShreJais/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
ShreJais/make-a-pr
Learning git and github.
ShreJais/ml-cvnets
CVNets: A library for training computer vision networks
ShreJais/neural-processes
Pytorch implementation of Neural Processes for functions and images :fireworks:
ShreJais/normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
ShreJais/probnum
Probabilistic Numerics in Python.
ShreJais/probtorch
Probabilistic Torch is library for deep generative models that extends PyTorch
ShreJais/project-NN-Pytorch-scripts
ShreJais/pytracking
Visual tracking library based on PyTorch.
ShreJais/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
ShreJais/ShreJais
Config files for my GitHub profile.
ShreJais/shrejais.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ShreJais/ssm-jax-refactor
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
ShreJais/TextEncodersForSELD
Leveraging Text Encoders for SELD