Popular GitHub Repositories for Swap Space

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

Deepfakes Software For All

one-click face swap

Real-time face swap for PC streaming or video calls

Industry leading face manipulation platform

DeepFaceLab is the leading software for creating deepfakes.

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.

An arbitrary face-swapping framework on images and videos with one single trained model!

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

Create ? videos with Stable Diffusion by exploring the latent space and morphing between text prompts

MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

roop extension for StableDiffusion web-ui

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ??

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Large Concept Models: Language modeling in a sentence representation space

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit

Data augmentation for NLP, presented at EMNLP 2019