Popular GitHub Repositories for Video Production

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

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

Learn how to design, develop, deploy and iterate on production-grade ML applications.

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Cross-platform, customizable ML solutions for live and streaming media.

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Real-time face swap for PC streaming or video calls

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and Video Understanding on Your Phone

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

stable diffusion webui colab

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.