Pinned Repositories
BigData_Analysis_with_Spark
ACENET Workshop: Big Data Analysis with Spark
FCNN_from_scratch
Implemented fully connected neural network from scratch as part of Assignmnet-1 for Machine Learning course(6505)
FeatureSleuth
Final Project as part of Machine Learning Course CSCI-6505
MachineLearning-CSCI6505
Course work as part of Machine Learning CSCI-6505
Mayank_Portfolio
MLBigData-CSCI6515
Course work as part of ML for Big Data course
Stock-Price-Prediction-using-Sentiment-Analyses-of-Tweets
Project as part of NLP 6509 course
TreeSQuAD
This dataset has been made publicly available as part of the Dalhousie Natural Language Processing Lab (DNLP) research, which focuses on incorporating Structural Embedding of Constituency Trees in the Attention-Based Model for Machine Comprehension.
VideoChapterSummarizer
ZooSegNet
Collaborated with Davies Biological Sciences Lab at the University of New Brunswick to automate the manual sorting of 45k shadowgraph images captured underwater in the Bay of Fundy for research purposes. Utilized computer vision and deep learning to develop an ensemble model that achieved a 94.42% accuracy rate, striking an optimal False Positive-F
mayankanand111's Repositories
mayankanand111/FeatureSleuth
Final Project as part of Machine Learning Course CSCI-6505
mayankanand111/BigData_Analysis_with_Spark
ACENET Workshop: Big Data Analysis with Spark
mayankanand111/FCNN_from_scratch
Implemented fully connected neural network from scratch as part of Assignmnet-1 for Machine Learning course(6505)
mayankanand111/MachineLearning-CSCI6505
Course work as part of Machine Learning CSCI-6505
mayankanand111/Mayank_Portfolio
mayankanand111/MLBigData-CSCI6515
Course work as part of ML for Big Data course
mayankanand111/Stock-Price-Prediction-using-Sentiment-Analyses-of-Tweets
Project as part of NLP 6509 course
mayankanand111/TreeSQuAD
This dataset has been made publicly available as part of the Dalhousie Natural Language Processing Lab (DNLP) research, which focuses on incorporating Structural Embedding of Constituency Trees in the Attention-Based Model for Machine Comprehension.
mayankanand111/VideoChapterSummarizer
mayankanand111/ZooSegNet
Collaborated with Davies Biological Sciences Lab at the University of New Brunswick to automate the manual sorting of 45k shadowgraph images captured underwater in the Bay of Fundy for research purposes. Utilized computer vision and deep learning to develop an ensemble model that achieved a 94.42% accuracy rate, striking an optimal False Positive-F
mayankanand111/NLP-CSCI6509
NLP Course work and Project
mayankanand111/QAnet
mayankanand111/TreeSQuAD2.0
This dataset is made publicly available for CanadianAI2024 conference