Popular GitHub Repositories for Changes Over Time

real time face swap and one-click video deepfake with only a single image

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ?Docker-friendly.?Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

LlamaIndex is the leading framework for building LLM-powered agents over your data.

AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.

?AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Real-time face swap for PC streaming or video calls

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Turns Data and AI algorithms into production-ready web applications in no time.

Filament是一个实时物理渲染引擎，支持Android、iOS、Windows、Linux、macOS和WebGL2平台。

Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

A Library for Advanced Deep Time Series Models.