natanielruiz

natanielruiz's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.9k56371710.2k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python34.8k1775.1k2.6k

• huggingface/diffusers

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

  Language:Python26.8k2104.4k5.5k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.1k1273162.1k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.1k973481.6k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k26848952

• huggingface/trl

  Train transformer language models with reinforcement learning.

  Language:Python10.4k771.3k1.3k

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python5k278553503

• CarperAI/trlx

  A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

  Language:Python4.5k51292473

• facebookresearch/deit

  Official DeiT repository

  Language:Python4.1k47197560

• openai/glide-text2im

  GLIDE: a diffusion-based text-conditional image synthesis model

  Language:Python3.6k16444507

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.4k120137494

• allenai/RL4LMs

  A modular RL library to fine-tune language models to human preferences

  Language:Python2.2k2459192

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.8k2163241

• gnobitab/InstaFlow

  :zap: InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)

  Language:Python1.2k432640

• PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models

  A collection of resources on controllable generation with text-to-image diffusion models.

  949471627

• google/dreambooth

  88514481

• jacobgil/vit-explain

  Explainability for Vision Transformers

  Language:Python876626102

• cognitivecomputations/github2file

  Language:Python863115104

• bcmi/libcom

  Image composition toolbox: everything you want to know about image composition or object insertion

  Language:Python562143836

• mkshing/ziplora-pytorch

  Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs"

  Language:Python522111938

• thuanz123/realfill

  Unofficial implementation of RealFill

  Language:Jupyter Notebook36181927

• kpandey008/DiffuseVAE

  Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

  Language:Python35671135

• mkshing/e4t-diffusion

  Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

  Language:Python323122624

• sayakpaul/probing-vits

  Probing the representations of Vision Transformers.

  Language:Jupyter Notebook31710720

• akashsengupta1997/HierarchicalProbabilistic3DHuman

  Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)

  Language:Python19581612

• Muzammal-Naseer/IPViT

  Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)

  Language:Python17616819

• mkshing/prompt-plus-pytorch

  Implementation of P+: Extended Textual Conditioning in Text-to-Image Generation

  Language:Python48351

• NVlabs/High-res-disentanglement-datasets

  Datasets for new state-of-the-art challenge in disentanglement learning

  Language:Python43904

• nottombrown/imagenet-stubs

  A teeny tiny set of ImageNet-like images for testing pipelines

  Language:Python80212