real time face swap and one-click video deepfake with only a single image
- ai-face
- deepfake
- video-deepfake
- deepfake-webcam
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real time face swap and one-click video deepfake with only a single image
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
NVR with realtime local object detection for IP cameras
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
:zap: A Fast, Extensible Progress Bar for Python and CLI
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Turns Data and AI algorithms into production-ready web applications in no time.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
Secure, Fast, and Extensible Sandbox runtime for AI agents.
🦉 Data Versioning and ML Experiments
A framework for building realtime voice AI agents 🤖🎙️📹
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
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.
Image augmentation for machine learning experiments.
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 for General Time Series Analysis.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.