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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A curated list of awesome Machine Learning frameworks, libraries and software.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
A collection of design patterns/idioms in Python
🎨 Diagram as Code for prototyping cloud system architectures
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
PyTorch Tutorial for Deep Learning Researchers
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…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Universal LLM Deployment Engine with ML Compilation
A list of developer portfolios for your inspiration
State-of-the-Art Text Embeddings
Machine Learning Engineering Open Book
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Practical Python Programming (course by @dabeaz)
Open source annotation tool for machine learning practitioners.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Perform data science on data that remains in someone else's server