Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
A collection of learning resources for curious software engineers
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Best Practices on Recommendation Systems
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Python Implementation of Reinforcement Learning: An Introduction
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
DeFi Developer roadmap is a curated Developer handbook which includes a list of the best tools for DApps development, resources and references!
An easy and fast way to create a Python GUI 🐍
A curated list of amazingly awesome Home Assistant resources.
:satellite: All You Need to Know About Deep Learning - A kick-starter
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A research toolkit for particle swarm optimization in Python
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
A Collection of Vulnerabilities in ERC20 Smart Contracts With Tokens Affected
🎯 A comprehensive gradient-free optimization framework written in Python
Awesome list of AI reverse engineering and rebuilds: what AI agents took apart and recreated, and which ones really used REA (Reverse Engineer Anything).