A presença pública da Stability AI no GitHub é significativa, com uma ampla gama de repositórios voltados para modelos generativos e inteligência artificial. As linguagens principais incluem Python, Jupyter Notebook e TypeScript, com repositórios notáveis como generative-models e StableLM, que são amplamente utilizados na comunidade de desenvolvimento.
Generative Models by Stability AI
StableLM: Stability AI Language Models
Community interface for generative AI
Official Code for Stable Cascade
StableSwarmUI, A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibility.
Generative models for conditional audio generation
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
Nenhuma descrição fornecida para este repositório.
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
Nenhuma descrição fornecida para este repositório.
A family of state-of-the-art Transformer-based audio codecs for low-bitrate high-quality audio coding.
Nenhuma descrição fornecida para este repositório.
Metrics for evaluating music and audio generative models – with a focus on long-form, full-band, and stereo generations.
Nenhuma descrição fornecida para este repositório.
Nenhuma descrição fornecida para este repositório.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
A framework for few-shot evaluation of autoregressive language models.
Nenhuma descrição fornecida para este repositório.
Interface definitions for API interactions between components
Code Assistance/ Developer Productivity suite of Models
Awesome Stability List
Stability REST API examples, issues, and discussions | https://api.stability.ai
Iterable datapipelines for pytorch training.
python library for invisible image watermark (blind image watermark)
Stability.AI Model Metadata Standard Specification
Relightable multi-view 3D reconstruction with disentangled illumination and spatially varying PBR materials
Nenhuma descrição fornecida para este repositório.
Deploy your HPC Cluster on AWS in 20min. with just 1-Click.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Nenhuma descrição fornecida para este repositório.
Golang functions for interacting with Stability API
Official implementation of AnimateDiff.
Nenhuma descrição fornecida para este repositório.
A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
Karras et al. (2022) diffusion models for PyTorch
Nenhuma descrição fornecida para este repositório.
External project in GitHub for marketing purposes. This repo will be used for code samples that accompany blog posts on https://stability.ai/learning-hub
A library for training and deploying machine learning models on Amazon SageMaker
Using Low-rank adaptation to quickly fine-tune diffusion models + HF Accelerate
Notebooks for Stability AI models
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Nenhuma descrição fornecida para este repositório.
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Variance reduction for Sliced Wasserstein Distance using Reservoir Sampling.
Nenhuma descrição fornecida para este repositório.
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Fast and memory-efficient exact attention
Nenhuma descrição fornecida para este repositório.
Code for building and running containers available on AWS marketplace
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Model API for GALACTICA
Nenhuma descrição fornecida para este repositório.
An open source implementation of CLIP.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Nenhuma descrição fornecida para este repositório.
Nenhuma descrição fornecida para este repositório.
Nenhuma descrição fornecida para este repositório.
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
A high-throughput and memory-efficient inference and serving engine for LLMs
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A Python-CUDA implementation of the Wavelet Transform
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GH app to listen for actions build requests and submit
A tool for comparing large S3 buckets
Use Hugging Face with JavaScript
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
Nenhuma descrição fornecida para este repositório.
ComfyUI's ControlNet Auxiliary Preprocessors
Nenhuma descrição fornecida para este repositório.
A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据!
Nenhuma descrição fornecida para este repositório.
Serve any model without boilerplate code
Module, Model, and Tensor Serialization/Deserialization
Contrib repository for the OpenTelemetry Collector
A set of tools that gives agents powerful capabilities.
Official Implementation of "Splat the Net: Radiance Fields with Splattable Neural Primitives"
A model-driven approach to building AI agents in just a few lines of code.
Rembg is a tool to remove images background
Webapp to live inside of the Munge auth domain, run as the SlurmUser, and launch GitHub Actions runners based on build requests
Fork of Qwen Image Bench for Stable Tribunal
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
Nenhuma descrição fornecida para este repositório.
rCM & Causal-rCM: Leading and Unified Algorithms/Infrastructures for Bidirectional/Autoregressive Video Diffusion Distillation at Scale
Scripts for interacting with Stability AI's inference server containers.
Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.
Project of llm evaluation to Japanese tasks
Robust recipes for to align language models with human and AI preferences
Slurm on Google Cloud Platform
Nenhuma descrição fornecida para este repositório.
Checkpointable dataset utilities for foundation model training
Example of using Epochraft to train HuggingFace transformers models with PyTorch FSDP
maximal update parametrization (µP)
Custom features shared by Stability AI devcontainers
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The most powerful and modular stable diffusion GUI with a graph/nodes interface.
Localhost proxy for IAM Credentials API project
ControlNet scheduling and masking nodes with sliding context support
A Stability-AI desenvolve uma variedade de projetos voltados para inteligência artificial e modelos generativos, incluindo repositórios como generative-models e StableLM, que são amplamente utilizados para aplicações em aprendizado de máquina.
A Stability-AI utiliza principalmente Python, Jupyter Notebook, TypeScript, C# e Shell em seus repositórios, refletindo uma diversidade de abordagens para o desenvolvimento de suas ferramentas e modelos de IA.
Sim, todos os repositórios da Stability-AI são públicos, permitindo que a comunidade acesse, utilize e contribua para projetos como StableStudio e stable-audio-tools, promovendo a transparência e a colaboração no desenvolvimento da inteligência artificial.
Monitore Stability AI com o RepoGuard e receba alertas no momento em que um novo repositório público aparecer.
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