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18 results for source starred repositories
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A Datacenter Scale Distributed Inference Serving Framework

Rust 3,297 221 Updated Mar 27, 2025

MCP server to provide Figma layout information to AI coding agents like Cursor

TypeScript 3,466 262 Updated Mar 21, 2025

A crash course and overview of software engineering in the U.S. healthcare industry.

2 Updated Jan 19, 2024
Python 33 18 Updated May 10, 2024

The fastest way to build robust AI agents

Python 1,748 159 Updated Mar 7, 2025

Give Cursor Agent an AI Team and Advanced Skills

TypeScript 3,387 160 Updated Mar 26, 2025

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…

TypeScript 15,032 1,540 Updated Mar 24, 2025

Seamlessly integrate LLMs as Python functions

Python 2,236 117 Updated Mar 2, 2025

LLM training in simple, raw C/CUDA

Cuda 26,159 3,003 Updated Oct 2, 2024

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.

Go 135,012 11,198 Updated Mar 27, 2025

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning. IEEE TMM, 2022

Python 58 7 Updated Feb 12, 2024

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

Jupyter Notebook 5,916 1,045 Updated Feb 24, 2025

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references und…

HTML 5,596 469 Updated Mar 12, 2025

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

Python 2,327 166 Updated Dec 11, 2024

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Jupyter Notebook 16,541 2,393 Updated Mar 26, 2025

A project using IBM Employee data to assess how age is correlated to monthly salary as well as other variables, such as job level and working years.

Jupyter Notebook 1 Updated May 14, 2021

A ML foundation by using GraphLab on coursera.

Jupyter Notebook 1 Updated Aug 6, 2019