NJUNMT-tf

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Natural Language Processing Tutorial for Deep Learning Researchers

? Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.???

Unsupervised text tokenizer for Neural Network-based text generation.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

Scenic: A Jax Library for Computer Vision Research and Beyond

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!