JincanDeng's Stars
phython96/GNAS-MP
Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)
coder2gwy/coder2gwy
互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。
mohuangrui/ucasthesis
LaTeX Thesis Template for the University of Chinese Academy of Sciences
jiangxufeng/v2rayL
v2ray linux GUI客户端,支持订阅、vemss、ss等协议,自动更新订阅、检查版本更新
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PeizeSun/SparseR-CNN
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
DeepVAC/deepvac
PyTorch Project Specification.
cuishuhao/HDA
codes for Heuristic Domain Adaptation (NeurIPS2020)
ShameCom/ShameCom
收集校招污点公司或组织,帮助学弟学妹避雷。互联网不曾遗忘!
zhaodongh/Encoding-Word-Order-in-Complex-valued-Embedding
The code of Encoding Word Order in Complex-valued Embedding
halfrost/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
ets-labs/python-vimrc
VIM Configuration for Python / Cython / C Development
weslynn/AlphaTree-graphic-deep-neural-network
AI Roadmap: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
zhulei227/ML_Notes
机器学习算法的公式推导以及numpy实现
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
tgc1997/RMN
IJCAI2020: Learning to Discretely Compose Reasoning Module Networks for Video Captioning
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
JDAI-CV/image-captioning
Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
CyC2018/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
facebookresearch/detr
End-to-End Object Detection with Transformers
StanfordVL/STGraph
Codebase for CVPR 2020 paper "Spatio-Temporal Graph for Video Captioning with Knowledge Distillation"
scutan90/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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
extreme-assistant/AI-job-interview
AI算法岗面试经验汇总
DarLiner/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
jlevy/the-art-of-command-line
Master the command line, in one page
antoine77340/video_feature_extractor
Easy to use video deep features extractor
phueb/CHILDES-SRL
Research code for generating semantic role labels for CHILDES
victoresque/pytorch-template
PyTorch deep learning projects made easy.
HouJP/resume
使用LaTeX编译生成的中英文个人简历