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2019届秋招面经集合
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)
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Algorithms, 4th edition textbook code and libraries
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A curated list of papers and code about very deep neural networks
A list of Image Aesthetics papers and resources.
Bayesian Python: Bayesian inference tools for Python
Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB
ChainerCV: a Library for Deep Learning in Computer Vision
README and scripts for the Cityscapes Dataset
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
A technical report on convolution arithmetic in the context of deep learning
This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
cs231n assignments
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit
Public facing notes page
My implementations of cs231n 2017
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.