Christine620

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

bert

TensorFlow code and pre-trained models for BERT

955.WLB

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

google-research

Google Research

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

vit-pytorch

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

vision

Datasets, Transforms and Models specific to Computer Vision

vision_transformer

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

SAN

Exploring Self-attention for Image Recognition, CVPR2020.

Attention-Augmented-Conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

adaptive-span

Transformer training code for sequential tasks

DCL

Destruction and Construction Learning for Fine-grained Image Recognition

Love-Leetcode

小码哥《恋上数据结构与算法》学习笔记

Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

axial-deeplab

This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

MMAL-Net

This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

tasn

Trilinear Attention Sampling Network for Fine-grained Image Recognition

Data_Structure_Note

《恋上数据结构》第1季度 + 第2季 完整学习笔记，从0实现的 Java 数据结构大全。

VisualTransformers

A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"

triplet-loss-pytorch

A generic triplet data loader for image classification problems,and a triplet loss net demo.

image_transformer

Pytorch implementation of the image transformer for unconditional image generation

VisionTransformer

A complete easy to follow implementation of Google's Vision Transformer proposed in "AN IMAGE IS WORTH 16X16 WORDS". This pytorch implementation has comments for better understanding.

adaptive-attention-in-cv

Implementation for our paper exploring a novel 2D adaptive attention span kernel in computer vision.