Popular GitHub Repositories for Internal Consistency

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

? Yao is an all-in-one application engine that enables developers to create web apps, REST APIs, business applications, and more, with AI as a development partner.

The first AI agent that builds permissionless integrations through reverse engineering platforms' internal APIs.

Control GenAI interactions with power, precision, and consistency using LLM-native Conversation Design paradigms

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

[ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing

Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment

App showcasing multiple real-time diffusion models pipelines with Diffusers

全新的高颜值/高性能的AI模型接口管理与分发系统，仅供个人学习使用，请勿用于任何商业用途，本项目基于NewAPI开发。A brand new high aesthetic/high-performance AI model interface management and distribution system is only for personal or internal management and distribution channels of enterprises. Please do not use it for commercial purposes.

Turn the draft into amazing artwork with the power of Real-Time Latent Consistency Model

DiffuEraser is a diffusion model for video inpainting, which performs great content completeness and temporal consistency while maintaining acceptable efficiency.

Self-supervised contrastive learning for time series via time-frequency consistency

:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

[ICML 2024] CLLMs: Consistency Large Language Models

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Official Repository of the paper "Trajectory Consistency Distillation"

Tego is a pluggable application framework., where developers can build complex application logic, while core developers focus on ensuring the stability of key modules and adapting to different environments.

Code repository for T2V-Turbo and T2V-Turbo-v2

Video-Inpaint-Anything: This is the inference code for our paper CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility.

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut: