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adapet

[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training

advanced-machine-learning

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

algorithms-and-data-structures

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

andrew-ng-ml-course-assignments

Assignment solutions for Andrew Ng's Machine Learning Course

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.

basic-pytorch

big-data

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

cnn-rnn-text-classifier

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

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

feed-forward-neural-network-demo

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

gans-public

Course notebooks for GANs specializations

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.

leetcode

Just some toy code in python for leetcode exercises.

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.

lucid-programming

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

ml-with-matlab-octave

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

mlep-public

Public repo for DeepLearning.AI MLEP Specialization

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.

reinforcement-learning

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

rnn-cnn-with-attention-text-classifier

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

rudimentary-python

basic python stuff

setfit-and-cossim

goofing around with sentence transformer finetuning and cosine similarity

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.