Lists (2)
Stars
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Essential reads for every AI engineer interested in building AI apps.
Awesome LLM Books: Curated list of books on Large Language Models
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
learningggggggg 🐳
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Repository for the book Grokking Machine Learning, by Manning Editors
Repo for the Deep Learning Nanodegree Foundations program.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A markdown version emoji cheat sheet
State-of-the-Art Text Embeddings
The official Python library for the OpenAI API
✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Run PyTorch LLMs locally on servers, desktop and mobile
A PyTorch native library for large model training
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
An implementation of figlet written in Python
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs,…
NoSQL data store using the Seastar framework, compatible with Apache Cassandra and Amazon DynamoDB
Robust, lightweight, configurable python-poetry Docker images for any use case.