Highlights
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kshitijshresth/Layout-Organization-Recognition
kshitijshresth/Layout-Organization-Recognition PublicA model based on convolutional neural network with a regression head for optically recognizing the layout of each data source. It detects where in each page main text is present, and disregard othe…
Jupyter Notebook
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kshitijshresth/LoMI-SSL
kshitijshresth/LoMI-SSL PublicMotor Imagery EEG benchmark with compact self-supervised encoders (<100k params), few-shot calibration (5/10/20/50 trials per class), CSP/EEGNet baselines, and cross-dataset transfer (BNCI2014_001 …
Python 1
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kshitijshresth/Image-Classification-Mini-Research-Project
kshitijshresth/Image-Classification-Mini-Research-Project PublicThis project was developed as part of the SCC 361 Artificial Intelligence module coursework. This includes data preparation, training/testing splits, K-Nearest Neighbors with custom distance metric…
MATLAB
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kshitijshresth/NLP-Commodity-Signaller
kshitijshresth/NLP-Commodity-Signaller PublicSentiment analysis pipeline for commodity trading using DistilBERT, MiniLM, and GloVe-LSTM models. Processes real-time NewsData.io, MarketAux, Reddit data to predict 1-5 sentiment scores, mapping t…
Jupyter Notebook
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Quant-Trading-Model-Unsupervised-Learning
Quant-Trading-Model-Unsupervised-Learning PublicQuantitative investment strategy which leverages ML algorithms to identify high-potential stocks, optimize portfolio allocation, and visualise risk clusters and momentum trends.
Python 1
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