Pells31's Stars
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
nivu/ai_all_resources
A curated list of Best Artificial Intelligence Resources
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
lucidrains/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
Jackett/Jackett
API Support for your favorite torrent trackers
posquit0/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
ossu/data-science
📊 Path to a free self-taught education in Data Science!
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
firstcontributions/first-contributions
🚀✨ Help beginners to contribute to open source projects
williamgherman/c-solutions
My Solutions to K. N. King's "C Programming: A Modern Approach", second edition
fahimalavi/example_wakaama_cellular
OpenMobileAlliance/OMA_LwM2M_for_Developers
OMA LightweightM2M public resources.
eclipse-wakaama/wakaama
Eclipse Wakaama is a C implementation of the Open Mobile Alliance's LightWeight M2M protocol (LWM2M).
eclipse-leshan/leshan
Java Library for LWM2M
OpenMobileAlliance/lwm2m-registry
This is a public repository dedicated to store and register new LwM2M Objects