Pinned Repositories
221-Data-Structures-and-Algorithms
Projects and assignments from CS 221, Data Structures and Algorithms
auto-docs
A CLI tool that automatically generates documentation for python code using machine learning
code-engine
A Python package to automatically solve programming problems
CS391-Machine-Learning
Projects from Wake Forests Machine Learning course
FastMatMulNN
Faster matrix multiplication algorithms in Neural Networks
ize
Use Natural Language to analyze and visualize your data with GPT-3
news-summarization
A collection of NLP tools for summarizing and analyzing news articles
newsletter
newsletter is a web-app that automatically generates newsletters and blog posts using Machine Learning
Numerical-Analysis
Coding assignments and MATLAB projects from CS 355 Numerical Analysis
Python-for-Data-Science-and-Machine-Learning-Udemy-Course
Exercises and Projects from Python for Data Science and Machine Learning Udemy course
jweissenberger's Repositories
jweissenberger/news-summarization
A collection of NLP tools for summarizing and analyzing news articles
jweissenberger/auto-docs
A CLI tool that automatically generates documentation for python code using machine learning
jweissenberger/code-engine
A Python package to automatically solve programming problems
jweissenberger/newsletter
newsletter is a web-app that automatically generates newsletters and blog posts using Machine Learning
jweissenberger/ize
Use Natural Language to analyze and visualize your data with GPT-3
jweissenberger/Python-for-Data-Science-and-Machine-Learning-Udemy-Course
Exercises and Projects from Python for Data Science and Machine Learning Udemy course
jweissenberger/221-Data-Structures-and-Algorithms
Projects and assignments from CS 221, Data Structures and Algorithms
jweissenberger/CS391-Machine-Learning
Projects from Wake Forests Machine Learning course
jweissenberger/Numerical-Analysis
Coding assignments and MATLAB projects from CS 355 Numerical Analysis
jweissenberger/Numerical-Linear-Algebra
CS352, coding assignments and algorithms developed from my Numerical Linear Algebra course
jweissenberger/FastMatMulNN
Faster matrix multiplication algorithms in Neural Networks
jweissenberger/211-Computer-Organization
jweissenberger/222-Data-Structures-And-Algorithms
jweissenberger/231-Programming-Languages
jweissenberger/241-Operating-Systems
jweissenberger/391-Computer-Vision
jweissenberger/audio-llm
jweissenberger/bert
TensorFlow code and pre-trained models for BERT
jweissenberger/CS112
Coding assignments from my CS112 class which gave an introduction to the C++ language
jweissenberger/gpt-test
jweissenberger/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.
jweissenberger/Harvard-Data-Science-Course
Official content for the Fall 2014 Harvard CS109 Data Science course
jweissenberger/macros
jweissenberger/Matlab-Neural-Net
jweissenberger/paradnn
ParaDnn: A systematic performance analysis methodology for deep learning.
jweissenberger/pegasus
jweissenberger/Stanford-Machine-Learning-Coursera
MatLab exercises from Andrew Ng's Machine Learning course
jweissenberger/TensorFlow-Course
Notes and coding assignments from a Udemy course on tensorflow
jweissenberger/universal-language-detection
State of the art language detection for 100 different languages
jweissenberger/zero_to_deep_learning_udemy
Repository for the Zero to Deep Learning™ Video Course on Udemy