Stars
The Prodigy optimizer and its variants for training neural networks.
Using Low-rank adaptation to quickly fine-tune diffusion models.
NeurIPS 2023, Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
AAAI2026: TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models
Implementation of P+: Extended Textual Conditioning in Text-to-Image Generation
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Implementation of "SVDiff: Compact Parameter Space for Diffusion Fine-Tuning"
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
PyTorch implementation of various distillation approaches for continual learning of Diffusion Models.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
High-Resolution Image Synthesis with Latent Diffusion Models
A clean and simple data loading library for Continual Learning
Awesome Incremental Learning
Mobile manipulation in Habitat
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
code for TIDEE: Novel Room Reorganization using Visuo-Semantic Common Sense Priors
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…