zlannnn

autogluon

Fast and Accurate ML in 3 Lines of Code

ThunderNet-Review

Real-time generic object detection on mobile platforms is a crucial but challenging computer vision task. However, previous CNN-based detectors suffer from enormous computational cost, which hinders them from real-time inference in computation-constrained scenarios. In this paper, we investigate the effectiveness of two-stage detectors in real-time generic detection and propose a lightweight twostage detector named ThunderNet. In the backbone part, we analyze the drawbacks in previous lightweight backbones and present a lightweight backbone designed for object detection. In the detection part, we exploit an extremely efficient RPN and detection head design. To generate more discriminative feature representation, we design two efficient architecture blocks, Context Enhancement Module and Spatial Attention Module. At last, we investigate the balance between the input resolution, the backbone, and the detection head. Compared with lightweight one-stage detectors, ThunderNet achieves superior performance with only 40% of the computational cost on PASCAL VOC and COCO benchmarks. Without bells and whistles, our model runs at 24.1 fps on an ARM-based device. To the best of our knowledge, this is the first real-time detector reported on ARM platforms. Code will be released for paper reproduction.

RSNA2019_Intracranial-Hemorrhage-Detection

Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019

LFIP

Efficient Featurized Image Pyramid Network for Single Shot Detector, CVPR, 2019

gluon-cv

Gluon CV Toolkit

Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

Mish

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

APTOS2019

43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection

leetcode

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

ImageProcessing100Wen

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

FastPhotoStyle

Style transfer, deep learning, feature transform

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

TensorFlow-From-Zero-To-One

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

TensorFlow2.0-Examples

🙄 Difficult algorithm, Simple code.

StyleTransferTrilogy

风格迁移三部曲

adaptive-style-transfer

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

kaggle-aptos2019-blindness-detection

11th place solution for APTOS 2019 Blindness Detection on Kaggle (https://www.kaggle.com/c/aptos2019-blindness-detection).

octconv.pytorch

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

OctConv

Code for paper

deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

neural-collage

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration

FixRes

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

PortHamiltonianNN

Port-Hamiltonian Approach to Neural Network Training

CliqueNet

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

cifar10-fast

Paper-Reading

Paper Reading