Stars
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
SGLang is a high-performance serving framework for large language models and multimodal models.
A high-throughput and memory-efficient inference and serving engine for LLMs
Everything you need to know about LLM inference
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Free, Micro AI Code Reviews That Run on Git Commit
AI agents running research on single-GPU nanochat training automatically
Master programming by recreating your favorite technologies from scratch.
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.
A minimal boilerplate/template for starting your new Flask project.
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
🚀 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
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
This project helps you do prompt-based inpainting without having to paint the mask - using Stable Diffusion and Clipseg
Flexible HTTP command line stress tester for websites and web services
FastAPI Best Practices and Conventions we used at our startup
An open source list of developer questions to ask prospective employers
Training and serving large-scale neural networks with auto parallelization.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Mock HTTPX with awesome request patterns and response side effects 🦋
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Checklist of videos and exercises that you can follow if you want to get a good baseline for Data Structures and Algorithms.