mlpotter

Transformer_Time_Series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

SplitLearning

Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd

NextItNet

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

GRU4REC

PyTorch implementation of Session-Based Recommendations with Recurrent Neural Networks

Shapelet_Transform

Implementation of Shapelet Transformation for Classification of Time Series] https://dl.acm.org/doi/pdf/10.1145/2339530.2339579

DeepKoopmanLusch

PyTorch Implementation of Lusch et al DeepKoopman

Bayesian_Personalized_Ranking

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

Factorized_Personalized_Markov_Chains

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

Local-Outlier-Factor-NumPy

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

fedopt_attmpt

FedOPT attempt with PyTorch RPC

Hyperdimensional_Character_Recognition

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

DeepKoopmanSimple

Geneva et al simple koopman operator implementation

Gauss_Newton_NLLS

Gauss Newton Nonlinear Least Squares Estimation

SAWAR

Survival Analysis with Adversarial Regularization

20ng_text_classification

Apply BERT Sequence Classification for 20 newsgroups 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

DBSCAN-NumPy

DBSCAN implementation with only NumPy, matches scikit-learn 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

fedavg_attmpt

Attempt for FedAVG with torch.distributed.rpc package

final_project

Final Project for Bayesian Methods for Machine Learning

ISEA-OTF-Corona-TEM-GEM

kbroman.github.io

Karl Broman's website

Minimum_Edit_Distance

Calculate Minimum Edit Distance Matrix with Dynamic Programming

T-DYAN-T

Dynamics-aware Representation Learning via Multivariate Time Series Transformers

UCLA-Classes

Will contain all my classes I take as UCLA Master's students

Variational_Autoencoder

PyTorch implementation of variational autoencoder