dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Nano Diffusion - A Minimal Diffusion Implementation in PyTorch

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

The design language that makes your AI harness better at design.

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes…

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need th…

Fully automatic censorship removal for language models

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line …

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

Compute FID scores with PyTorch.

NanoGPT (124M) in 90 seconds

CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds

Muon is an optimizer for hidden layers in neural networks

The missing intelligence layer for GitHub. Analyze, visualize, and understand your repositories like never before.

Supercharge Your Model Training

Focused on fast experimentation and simplicity

Official repository for our work on micro-budget training of large-scale diffusion models.

set prompt to divided region

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

Focus on prompting and generating

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥

The Prodigy optimizer and its variants for training neural networks.

Using Low-rank adaptation to quickly fine-tune diffusion models.

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

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

Open-Sora: Democratizing Efficient Video Production for All