A collection of MCP servers.

Depth Anything 3

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

Machine Learning Engineering Open Book

AgentScope: Agent-Oriented Programming for Building LLM Applications

Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

"RAG-Anything: All-in-One RAG System"

GenAI infrastructure

An end-to-end pipeline to optimize and host LLM for 100K parallel queries

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…

Unsloth Fine-tuning Notebooks for Google Colab, Kaggle, Hugging Face and more.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

[Fully open] [Encoder-free MLLM] Vision as LoRA

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

A guidance language for controlling large language models.

Code and Slides

A curated list of 120+ LLM libraries category wise.

A lightweight data processing framework built on DuckDB and 3FS.

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

This repository contains a curated collection of 300 case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are or…

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

All Algorithms implemented in Python