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6.828-1

Solution to homework and assignments from MIT's 6.828 (Operating Systems Engineering).

admrl

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理等热门领域

animl

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

aws-mindmap

The mindmaps for AWS services to get AWS Certificates easier.

bigdata18

Transfer learning for time series classification

coding-interview-university

A complete computer science study plan to become a software engineer.

covid-19-data

Data on COVID-19 (coronavirus) confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data

covid-19-nav

COVID-19 新型冠状病毒肺炎疫情信息导航

covid19-data-ibsdatasciencegroup

COVID 2019 Data Sharing From IBS Data Science Group

cs500

dbmsfinal

Database Final Project

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dxy-covid-19-data

2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

ead2019

farm-simulator

The project was to develop a crop growth simulator that takes into consideration many factors that would affect the growth and development of any crop.

fe-interview

宇宙最强的前端面试指南 (https://lucifer.ren/fe-interview)

fitbittokenfetcher

DSLAB workspace

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

gnnpapers

Must-read papers on graph neural networks (GNN)

grammars-v4

Grammars written for ANTLR v4; expectation that the grammars are free of actions.

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

iota_simulation

A Multi-Agent Simulation Framework and Analysis of the IOTA Tangle - Python implementation and PDF of M.Sc. thesis, Imperial College London

iotsim-edge

learningtolearn

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）