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attention-is-all-you-need-pytorch

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

attention-rank-collapse

We show pure attention suffers rank collapse, and how different mechanisms combat it.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deeplearning.ai

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

deeplearning.ai-gan-specialization-generative-adversarial-networks

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

deeplearning.ai-gans-specialization

A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

dsr

The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)

keras-non-local-nets

Keras implementation of Non-local Neural Networks

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

non-local_pytorch

Implementation of Non-local Block.

senet

Squeeze-and-Excitation Networks

shap

A game theoretic approach to explain the output of any machine learning model.

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

torchcv

A PyTorch-Based Framework for Deep Learning in Computer Vision

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

transformer-mm-explainability

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.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

vision_transformer

vit-pytorch

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