feifeife's Stars
CMACH508/Box-FaceS
huangrt01/CS-Notes
我的自学笔记,终身更新,当前专注System基础、MLSys。
cdgiessen/ContourLines
Generates Contour Lines from USGS geological survey data
nosuggest/Reflection_Summary
算法理论基础知识应知应会
Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
JASaa/eddies-R2
R2 eddy detection algorithm that uses netCDF data
DA-southampton/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
yuanguangxin/LeetCode
LeetCode刷题记录与面试整理
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
imindseye/OSUFlow20
chizhu/KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统
ecjoliver/eddyTracking
Code for the detection and tracking of eddies, following Chelton et al. (Prog. Ocean., 2011) given a series of sea level maps.
zxysilent/books
一些常见的书籍pdf或者视频
HIT-Alibaba/interview
笔试面试知识整理
paddingme/Front-end-Web-Development-Interview-Question
前端开发面试题大收集,前端面试集锦 :heart: :gift_heart: :cupid:
taizilongxu/interview_python
关于Python的面试题
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
zhengjianglong915/note-of-interview
《互联网面试笔记》收集和分析互联网常见面试题,并将这些面试知识整理成文方便大家查阅。主要是面向java程序员,但基础知识部分不同语言程序员(c,c++,python等)都可以参考。---持续更新中, 欢迎编辑~
jobbole/awesome-programming-books
经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
NVIDIA/FastPhotoStyle
Style transfer, deep learning, feature transform
CharlesShang/DCNv2
Deformable Convolutional Networks v2 with Pytorch
NeedsMorePie/interpolator
2D Frame Inbetweening
lizhihao6/Forward-Warp
An optical flow forward warp's lib with backpropagation using pytorch.
ReNginx/FR-SRGAN
Class Final Project for MIT 6.819 Advances in Computer Vision
chengdazhi/Deformable-Convolution-V2-PyTorch
Deformable ConvNets V2 (DCNv2) in PyTorch
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
jiangsutx/SPMC_VideoSR
Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738
thunil/ofblend
This is the source code for the 2017 ToG paper "Interpolations of Smoke and Liquid Simulations"
tum-pbs/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
zhaoweicai/Detectron-Cascade-RCNN
Cascade R-CNN in Detectron