LuketheDukeBates

setfit

Efficient few-shot learning with Sentence Transformers

CNN-RNN-Text-Classifier

Text classification CNN & RNN hybrid network with word embeddings in Keras

Feed-forward-Neural-Network-Demo

In this repo, we implement a feed-forward neural network in python from scratch and in Keras

Linear-Regression-Demo

In this repo, we implement linear regression in python based on Andrew Ng's Coursera class and compare our model with Scikit-learn

Logistic-Regression-Demonstration

In this repo, we implement logistic regression in python 3 based off of Andrew Ng's Coursera class.

Pytorch-implementations

common machine learning algorithms/models explained and implemented in pytorch

Regularized-Linear-and-Polynomial-Regression-Bias-vs.-Variance

In this repo, we implement regularized linear and polynomial regression from scratch and with scikit learn in python 3.0. This implementation is based on Andrew Ng's machine learning class.

RNN-CNN-with-attention-text-classifier

Text classification RNN & CNN with attention hybrid network with word embeddings in Keras

a-template-is-all-you-meme

Source code and data

lagonn

Source code and data for Like a Good Nearest Neighbor

LuketheDukeBates/Logistic-Regression-Demonstration

In this repo, we implement logistic regression in python 3 based off of Andrew Ng's Coursera class.

LuketheDukeBates/Regularized-Linear-and-Polynomial-Regression-Bias-vs.-Variance

In this repo, we implement regularized linear and polynomial regression from scratch and with scikit learn in python 3.0. This implementation is based on Andrew Ng's machine learning class.

LuketheDukeBates/RNN-CNN-with-attention-text-classifier

Text classification RNN & CNN with attention hybrid network with word embeddings in Keras

LuketheDukeBates/CNN-RNN-Text-Classifier

Text classification CNN & RNN hybrid network with word embeddings in Keras

LuketheDukeBates/Feed-forward-Neural-Network-Demo

In this repo, we implement a feed-forward neural network in python from scratch and in Keras

LuketheDukeBates/K-Means-and-Principal-Component-Analysis

Implementation of K-Means and Principal Component Analysis from scratch and in scikit learn. Based on Andrew Ng's Coursera class.

LuketheDukeBates/SetFit-and-CosSim

goofing around with sentence transformer finetuning and cosine similarity

LuketheDukeBates/Linear-Regression-Demo

In this repo, we implement linear regression in python based on Andrew Ng's Coursera class and compare our model with Scikit-learn

LuketheDukeBates/Pytorch-implementations

common machine learning algorithms/models explained and implemented in pytorch

LuketheDukeBates/ADAPET

[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training

LuketheDukeBates/Advanced-Machine-Learning

code from https://www.coursera.org/specializations/aml

LuketheDukeBates/Algorithms-and-Data-Structures

python code for https://www.coursera.org/specializations/algorithms

LuketheDukeBates/Andrew-Ng-ML-Course-Assignments

Assignment solutions for Andrew Ng's Machine Learning Course

LuketheDukeBates/Anomaly-Detection-and-Recommender-Systems

In the repo, we implement anomaly detection (Gaussian fitting) and recommender systems (collaborative filtering) in python and scikit learn based on Andrew Ng's machine learning course.

LuketheDukeBates/Basic-pytorch

LuketheDukeBates/Big-Data

code and pdfs from https://www.coursera.org/learn/big-data-project

LuketheDukeBates/Deep-Learning-Coursera-Andrew-Ng-

This repository is a complete collection of the notebooks, data, and python modules used in Andrew Ng's Deep Learning course on Coursera

LuketheDukeBates/GANs-Public

Course notebooks for GANs specializations

LuketheDukeBates/Leetcode

Just some toy code in python for leetcode exercises.

LuketheDukeBates/Lucid-Programming

Code from this guy: https://www.youtube.com/channel/UCFxcvyt2Ucq5IL0_1Njzqlg/videos

LuketheDukeBates/ML-with-Matlab-Octave

Matlab/Octave code for Coursera Machine Learning class. https://www.coursera.org/learn/machine-learning/home

LuketheDukeBates/MLEP-public

Public repo for DeepLearning.AI MLEP Specialization

LuketheDukeBates/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

LuketheDukeBates/rudimentary-python

basic python stuff

LuketheDukeBates/Support-Vector-Machine-Demonstration

In this repo, we implement support vector machines using scikit learn in python based on Andrew Ng's machine learning course.