2226171237's Stars
applenob/Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
YIYANGCAI/CRNN-Pytorch2TensorRT-via-ONNX
the repository is about the conversion of CRNN model, which is widely used for text recognition. the CRNN model is converted from PyTorch to TensorRT via ONNX
huiscliu/Tutorials
Parallel programming tutorials
wang-xinyu/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
gzr2017/ImageProcessing100Wen
「画像処理100本ノック」中文版本!为图像处理初学者设计的 100 个问题。
jimmysuncpt/Algorithms
The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
JDAI-CV/image-captioning
Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
Smilexuhc/Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
apachecn/Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
WingsBrokenAngel/Semantics-AssistedVideoCaptioning
Source code for Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling Strategy
zhegan27/SCN_for_video_captioning
Using Semantic Compositional Networks for Video Captioning
xavier-zy/Awesome-pytorch-list-CNVersion
Awesome-pytorch-list 翻译工作进行中......
XSilverBullet/Multi-label-Paper
This document covers various papers about multi-label for reference
sreedattaSanjay/Convolutional-Video-Captioning
p-kar/pytorch-video-caption-rationale
Rationale generation for interpretability in video captioning models
qpwo/python-simple-cycles
algorithm for finding all the simple cycles in a graph
jrfonseca/gprof2dot
Converts profiling output to a dot graph.
liusen1006/2020HuaweiCodecraft-TestData
2020华为软赛初赛的测试数据,文件名为test_data.txt数据包含的环的个数
byl0561/HWcode2020-TestData
华为codecraft2020模拟测试数据
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
SmirkCao/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
SnailTyan/deep-learning-papers-translation
深度学习论文翻译,包括分类论文,检测论文等
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
2226171237/NN
numpy实现多层神经网络
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.