Exocamp

Exocamp's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.4k3233963.3k

• lucidrains/imagen-pytorch

  Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

  Language:Python8k115300762

• EleutherAI/gpt-neox

  An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

  Language:Python6.9k1254371k

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.6k98276643

• lucidrains/deep-daze

  Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

  Language:Python4.4k75167326

• lucidrains/stylegan2-pytorch

  Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

  Language:Python3.7k69263586

• THUDM/CogView

  Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

  Language:Python1.7k5763174

• lucidrains/parti-pytorch

  Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch

  Language:Python522141123

• computational-imaging/ACORN

  ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021

  Language:Python289271032

• cassiePython/CLIPNeRF

  CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

  Language:Python258162015

• lucidrains/transganformer

  Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

  Language:Python15316815

• pollinations/deep-daze

  Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

  Language:Python100