A flexible, adaptive classification system for dynamic text classification
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Updated
Oct 9, 2026 - Python
A flexible, adaptive classification system for dynamic text classification
This is an official PyTorch implementation of "Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting"
Implementation of the Numeric SAM algorithm
Day To Day
This repository contains some frontendmentor.io challenges that I have worked on
Day To Day
Day To Day
Organismic Artificial Intelligence (OAI): A 540 Hz synthetic nervous system learning continuous sensorimotor dynamics on CPU without backpropagation or GPUs. 3-factor Hebbian plasticity, allostatic drive, and sleep consolidation.
This repository contains some of the webpages and projects I have completed and hosted on github pages
Neural learning-to-rank system for Formula 1 race prediction with automated continuous training, model versioning and data versioning
Outcome-driven context selection for engineering agents.
This repository contain some web pages I have worked on and hosted on github on my other github account
An empirical study of where catastrophic forgetting happens in continual learning, in the representation or in the readout, across LSTMs, MLPs, ResNets and ViTs, with pre-registered experiments and documented negative results.
Undergraduate research project internship under the Complex Data Lab (Mila). Building a continuously updating dataset of AI generated images of open source models and Reddit
Scam Detection System for text messages using NLP (TF-IDF, N-gram analysis) and Machine Learning (Random Forest).
What If Model Memory Is Reorganized Like Human Episodic recall?
The project presents an object detection system in images using the 'YOLOV8 Medium' multiclass model.
This repository contains the wes-bos 30 days javaScript challenge ✔👀✨
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