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Name: Michael Potter
Type: User
Bio: Student at University of California Los Angeles (UCLA) EE & CE, BS/MS Northeastern University EE & CE 2020, MATLAB + python
Name: Michael Potter
Type: User
Bio: Student at University of California Los Angeles (UCLA) EE & CE, BS/MS Northeastern University EE & CE 2020, MATLAB + python
Apply BERT Sequence Classification for 20 newsgroups dataset
Active Learning for Object Detection with MMDet and MMEngine
Implemented PyTorch Matrix Factorization of "BPR: Bayesian Personalized Ranking from Implicit Feedback" with the Netflix Prize Dataset
Next Sentence Prediction (NSP) with huggingfaceco BERT implementation. Trained and tested on the wikitext-2 dataset.
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
Investigation into performance differences between various application layer key-value stores.
DBSCAN implementation with only NumPy, matches scikit-learn implementation
PyTorch Implementation of Lusch et al DeepKoopman
Geneva et al simple koopman operator implementation
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
Classical Drift Algorithms written in NumPy
UCLA ECENGR232E-80
Experiments and derivations involving Expectation Maximization (EM) algorithm
Implemented "Factorizing Personalized Markov Chains for Next-Basket Recommendation" for next item prediction for Movie Lens 1 million
Attempt for FedAVG with torch.distributed.rpc package
FedOPT attempt with PyTorch RPC
Final Project for Bayesian Methods for Machine Learning
Gauss Newton Nonlinear Least Squares Estimation
PyTorch implementation of Session-Based Recommendations with Recurrent Neural Networks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Apply Hyperdimensional Computing techniques to perform classification on the MNIST dataset (28x28 version and 8x8 version).
Karl Broman's website
Low-light Environment Neural Surveillance (LENS)
LOF: Identifying Density-Based Local Outliers paper replication with NumPy from scratch.
Sampling Methods
Calculate Minimum Edit Distance Matrix with Dynamic Programming
Day side project of neural-network binary classification using Python classes and NumPy package.
PyTorch implementation of NextItNet from "A Simple Convolutional Generative Network for Next Item Recommendation".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.