zly0428 Goto Github PK

algorithm_interview_notes-chinese

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

algoxy

Book of Elementary Algorithms and Data structures

alphatree-graphic-deep-neural-network

机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

artificial-intelligence

SEU Artificial Intelligence Assignments & Docs

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

char-rnn

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

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

cs231n-2017

Completed the CS231n 2017 spring assignments from Stanford university

cs231n.github.io

Public facing notes page

deeplearningbook

MIT Deep Learning Book in PDF format

dora

Tools for exploratory data analysis in Python

ece650

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

example-code

Example code for the book Fluent Python

fastbook

Draft of the fastai book

forum

蓝灯(Lantern)官方论坛

frontend-nanodegree-resume

ganhacks

starter from "How to Train a GAN?" at NIPS2016

history

projects and courses work

jalammar.github.io

Build a Jekyll blog in minutes, without touching the command line.

jpmml-lightgbm

Java library and command-line application for converting LightGBM models to PMML

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

libsvm

m3ts

Mobile Table Tennis Tracking System

material-design-icons

Material Design icons by Google

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models

Models and examples built with TensorFlow