Stars
PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.
📋 A list of open LLMs available for commercial use.
Source for Who're Interested in Data!
18 Lessons to Get Started Building AI Agents
Insightful Tutorials and Papers about Knowledge Graphs
Mastering Large Language Models: Build Your Own LLM from Scratch
OntoAligner: A Python Toolkit for Ontology Alignment https://pypi.org/project/OntoAligner/
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Fetching markeding data such as Google Ads, Facebook Ads, Twitter Ads, and more in no time using the Windsor.ai API
Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
This is the playbook for "code-with" customer or partner engagements
Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Science
We collect the common knowledges and code for deep learning interviews
About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new…
Deep Learning Specialization by Andrew Ng on Coursera.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
My small cheatsheets for data science, ML, computer science and more.
Natural Language Processing Tutorial for Deep Learning Researchers
Hands-On Computer Vision with TensorFlow 2, published by Packt
A collection of scientific methods, processes, algorithms, and systems to build stories & models.