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20ng_text_classification

Apply BERT Sequence Classification for 20 newsgroups dataset

bayesian_personalized_ranking

Implemented PyTorch Matrix Factorization of "BPR: Bayesian Personalized Ranking from Implicit Feedback" with the Netflix Prize Dataset

bert_nsp

Next Sentence Prediction (NSP) with huggingfaceco BERT implementation. Trained and tested on the wikitext-2 dataset.

coxphnumpy

NumPy implementation of Cox PH Model that fits with cox partial likelihood and kaplan meier curve for base survival density / base hazard function on Bladder Cancer Dataset

datastore-profiling

Investigation into performance differences between various application layer key-value stores.

dbscan-numpy

DBSCAN implementation with only NumPy, matches scikit-learn implementation

deepkoopmanlusch

PyTorch Implementation of Lusch et al DeepKoopman

deepkoopmansimple

Geneva et al simple koopman operator implementation

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

drift-algorithms-numpy

Classical Drift Algorithms written in NumPy

ecengr232e-80

UCLA ECENGR232E-80

eece5645

expectation_maximization

Experiments and derivations involving Expectation Maximization (EM) algorithm

factorized_personalized_markov_chains

Implemented "Factorizing Personalized Markov Chains for Next-Basket Recommendation" for next item prediction for Movie Lens 1 million

fedavg_attmpt

Attempt for FedAVG with torch.distributed.rpc package

fedopt_attmpt

FedOPT attempt with PyTorch RPC

final_project

Final Project for Bayesian Methods for Machine Learning

gauss_newton_nlls

Gauss Newton Nonlinear Least Squares Estimation

gru4rec

PyTorch implementation of Session-Based Recommendations with Recurrent Neural Networks

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hyperdimensional_character_recognition

Apply Hyperdimensional Computing techniques to perform classification on the MNIST dataset (28x28 version and 8x8 version).

isea-otf-corona-tem-gem

kbroman.github.io

Karl Broman's website

lens

Low-light Environment Neural Surveillance (LENS)

local-outlier-factor-numpy

LOF: Identifying Density-Based Local Outliers paper replication with NumPy from scratch.

mcmc

Sampling Methods

minimum_edit_distance

Calculate Minimum Edit Distance Matrix with Dynamic Programming

neural-network-numpy

Day side project of neural-network binary classification using Python classes and NumPy package.

nextitnet

PyTorch implementation of NextItNet from "A Simple Convolutional Generative Network for Next Item Recommendation".

python-wrapper-openie5

Python wrapper for OpenIE5