Popular GitHub Repositories for Category Encoder

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

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A neural network that transforms a design mock-up into a static website.

A curated list of 120+ LLM libraries category wise.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

Top2Vec learns jointly embedded topic, document and word vectors.

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Paper Lists for Graph Neural Networks

The implementation of DeBERTa

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

High Quality Monocular Depth Estimation via Transfer Learning

[ACL 2024 ?] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

List of papers studying machine learning through the lens of category theory

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Famous Vision Language Models and Their Architectures