Popular GitHub Repositories for Jpeg Decoder

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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

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

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!

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

High Quality Monocular Depth Estimation via Transfer Learning

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

AI无损放大工具

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

: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

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

PyTorch CTC Decoder bindings

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and ?ukasz Kaiser offered by deeplearning.ai

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

Tensorflow seq2seq Implementation of Text Summarization.

The fastest JavaScript BPE Tokenizer Encoder Decoder for OpenAI's GPT-2 / GPT-3 / GPT-4 / GPT-4o / GPT-o1. Port of OpenAI's tiktoken with additional features.

BERT for Multitask Learning