happyzhouch Goto Github PK

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

cs231n_assignment

CS231n_assignment

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

deep-reinforcement-learning-survey

My Exploration on Deep Reinforcement Learning Survey

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dial

Domain Invariant Adversarial Learning

dilation

Dilated Convolution for Semantic Image Segmentation

fermi

The implementation of Fair Empirical Risk Minimization

gitskills

handong1587.github.io

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频

learngit

learning-spark

Example code from Learning Spark book

lee-slam-source

SLAM 开发学习资源与经验分享

leetcode

Leetcode solutions

leetcode-1

:pencil: Python / C++ 11 Solutions of LeetCode Questions

my-git

Individual collecting material of learning git（有关 git 的学习资料）

om-net

Code release for the MICCAI2018 paper "One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation".

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyprobml

Python code for "Machine learning: a probabilistic perspective"

python-cheatsheet

Comprehensive Python Cheatsheet

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

senet

Squeeze-and-Excitation Networks

simplified-deeplearning

Simplified implementations of deep learning related works

slambook