asukaj Goto Github PK

3d-machine-learning

A resource repository for 3D machine learning

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algo

数据结构和算法必知必会的50个代码实现

alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

andrewngmachinelearning

arcore-android-sdk

ARCore SDK for Android Studio

asukaj.github.io

augmentedunreality

Augmented reality for Unreal Engine 4

auto-sklearn

Automated Machine Learning with scikit-learn

automatic-image-captioning

Generating Captions for images using Deep Learning

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-cv-paper-review

计算机视觉各个方向论文速览

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caffe-yolov3-windows

A windows caffe implementation of YOLO detection network

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cocoapi

COCO API - Dataset @ http://cocodataset.org/

code-checker

Project 7 of Software Engineering

codinginterviews

剑指Offer——名企面试官精讲典型编程题

computer-networking-a-top-down-approach-notes

《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cpp-0-1-resource

C++ 匠心之作 从0到1入门资料

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cs231n

斯坦福 cs231n 作业代码实践

csm

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

cvnd---image-captioning-project

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。