Vishal Sharma's repositories
awesome_ML_AI_RSS_feed
Awesome curated RSS feed links related to Machine Learning, Artificial Intelligence, Reinforcement Learning
SpeakerDiarization_RNN_CNN_LSTM
Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Audio-Classification-using-CNN-MLP
Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
Dataset-LinkSocial
Dataset used in our paper LINKSOCIAL: Linking User Profiles Across Multiple Social Media Platforms
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
awesome-real-world-rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
java-design-patterns
Design patterns implemented in Java
just-pandas-things
An ongoing list of pandas quirks
LinkedList
Some of the frequently asked LinkedList question during coding interview.
ML4DB-paper-list
Papers for database systems powered by artificial intelligence (machine learning for database)
numberReachability
Given a number, find a sequence of additions and multiplications that produce that number. For example, the number 13 could be reached by first multiplying 1 by 3 and then adding 5 twice. The number 15 cannot be reached at all.
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
popularity_vs_quality_data-code
Repository containing code and data used in our paper: Popularity vs Quality: Analyzing and Predicting the Success of Highly Rated Crowdfunded Projects on Amazon, Computing, 2021
scikit-learn
scikit-learn: machine learning in Python
USU_gym_data
USU gym data collection
vishalshar
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