Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Retrieval and Retrieval-augmented LLMs

yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor

Uncomplicated Observability for Python and beyond! 🪵🔥

sentence-transformers to onnx 让sbert模型推理效率更快

LLM101n: Let's build a Storyteller

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

The GPT-based Universal Web Scraper MVP is a solution that leverages GPT models and web scraping libraries to generate scraper code based on user input and website analysis, simplifying the web scr…

Seamlessly integrate LLMs into scikit-learn.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

the container setup MLflow Tracking backend with docker compose.

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

SGPT: GPT Sentence Embeddings for Semantic Search

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

faiss serving :)

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Making large AI models cheaper, faster and more accessible

pruning some recommendation model

Open source platform for the machine learning lifecycle

Source code for Twitter's Recommendation Algorithm

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Managing your machine learning lifecycle with MLflow and Amazon SageMaker

PaddleNLP UIE模型的PyTorch版实现

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".