attention

#计算机科学#59 篇深度学习论文的实现，并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠

#计算机科学#Machine learning, in numpy

#自然语言处理#NLP 教程，使用Pytorch

该项目目标是实现一个既能让深度学习小白也能搞懂，又能服务科研和工业社区的代码库。从代码角度，让世界上没有难读的论文

#自然语言处理#A PyTorch implementation of the Transformer model in "Attention is All You Need".

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

Transformer: PyTorch Implementation of "Attention Is All You Need"

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

FlashInfer: Kernel Library for LLM Serving

#计算机科学#Scenic: A Jax Library for Computer Vision Research and Beyond

Draw a leader line in your web page.

#计算机科学#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...

#大语言模型#Quantized Attention achieves speedup of 2-5x and 3-11x compared to FlashAttention and xformers, without lossing end-to-end metrics across language, image, and video models.

#自然语言处理#Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

#自然语言处理#Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

#计算机科学#Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

#计算机科学#Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Generative Adversarial Transformers

#人脸识别#Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.