Pinned Repositories
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
auto_featurelize
自动化特征选择
awesome-knowledge-graph
整理知识图谱相关学习资料
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Books
classification
pytorch classification
CodingInterviewsNotes
涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等
cpplinks
A categorized list of C++ resources.
cpu_gemm_opt
how to design cpu gemm on x86 with avx256, that can beat openblas.
leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
YanqingWu's Repositories
YanqingWu/auto_featurelize
自动化特征选择
YanqingWu/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
YanqingWu/amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
YanqingWu/awesome-knowledge-graph
整理知识图谱相关学习资料
YanqingWu/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
YanqingWu/Books
YanqingWu/classification
pytorch classification
YanqingWu/CodingInterviewsNotes
涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等
YanqingWu/cpplinks
A categorized list of C++ resources.
YanqingWu/custom_matmul_kernels
Customized matrix multiplication kernels
YanqingWu/DataStructure_Algorithms
学习数据结构与算法
YanqingWu/Deep-SAD-PyTorch
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
YanqingWu/Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
YanqingWu/EfficientDet_anchor_free
EfficientDet_anchor_free
YanqingWu/google-research
Google Research
YanqingWu/ml
machine learning with numpy
YanqingWu/n46-crawler
Nogizaka46 Blog Crawler - 乃木坂46卒業成員部落格備份程式
YanqingWu/openCNN
A Winograd Minimal Filter Implementation in CUDA
YanqingWu/Optimizing-DGEMM-on-Intel-CPUs-with-AVX512F
Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually.
YanqingWu/PMG-Progressive-Multi-Granularity-Training
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
YanqingWu/ppl.nn
A primitive library for neural network
YanqingWu/pytorch-admm-pruning
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
YanqingWu/Pytorch-ConvAutoEncoder
pytorch convolution auto-encoder
YanqingWu/QNN
Tutorials on Quantized Neural Network using Tensorflow Lite
YanqingWu/rl
YanqingWu/Sci-kit-Learning
学习机器学习库
YanqingWu/wincnn
Winograd minimal convolution algorithm generator for convolutional neural networks.
YanqingWu/Winograd_tutorial_python
winograd F(2,3) python implementation
YanqingWu/xla
YanqingWu/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS