weihaoxie Goto Github PK

dl_tutorials

Deep learning tutorials (2nd ed.)

dsb2017

The solution of team 'grt123' in DSB2017

external-attention-pytorch

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

facex-zoo

A PyTorch Toolbox for Face Recognition

fast-neural-style-tensorflow

A tensorflow implementation for fast neural style!

fastbook

The fastai book, published as Jupyter Notebooks

fastimageprocessing

Fast Image Processing with Fully-Convolutional Networks

gaohaoyang.github.io

blog & blog theme🤘

gitstars-fork

Github Starred Repositories Manager

handong1587.github.io

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-algo

《Hello 算法》一本动画图解、能运行、可提问的数据结构与算法入门书。提供 Java, C++, Python, Go, JS, TS, C# 多语言代码实现。

how-to-contribute-to-open-source

A guide to contributing to open source

https-github.com-dmlc-xgboost

iccv2019

ICCV 2019 papers/new汇总帖，极市团队整理

img

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

linearstyletransfer

This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).

linux

Linux kernel source tree

luna16_multi_size_3dcnn

An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"

mean-teacher

A state-of-the-art semi-supervised method for image recognition

mobilefacenet_tutorial_pytorch

This repo illustrates how to implement MobileFaceNet and Arcface for face recognition task

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mxnet-for-cdl

MXNet code CDL

myblog

neural-style-transfer-papers

:pencil2: Neural Style Transfer: A Review

neural_collaborative_filtering

Neural Collaborative Filtering

nn

🧠 Minimal implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

nncf

Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"

notion-charts