qzhao19's repositories
MNIST-AlexNet-Using-Tensorflow
Using AlexNet neural networks for the classic dataset MNIST
tiny-opendl
A lightweight Deep learning framework using Python
tiny-openml
A tiny machine learning framework
Advertising-Data-Analysis
Data Mining for Web Advertising
Image-Semantic-Segmentation
Implementation of deep image semantic segmentation models
AI-research-tools
:hammer:AI 方向好用的科研工具
Awesome-System-for-Machine-Learning
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
CPlusPlusThings
C++那些事
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
DesignPattern
This repository is built for design pattern in C++
Factorization-Machines
Factorization machines algorithm using Python
Notes-HighPerformanceLinuxServerProgramming
Linux高性能服务器编程(作者 游双) 读书笔记和Demo
qzhao19.github.io
qzhao's homepage
decision-tree
A header-only C++ library for Decision Tree Classification
CMake-Cookbook
:book: 作为对《CMake Cookbook》的中文翻译。
Cplusplus-Concurrency-In-Practice
A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》
CUDA-Learn-Notes
🎉CUDA 笔记 / 大模型手撕CUDA / C++笔记，更新随缘: flash_attn、sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.
decision_tree
Python implementation of a decision tree classifier
llama2.c
Inference Llama 2 in one file of pure C
motion_planning
Robot path planning, mapping and exploration algorithms
pygmo2
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
scikit-learn_bench
scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.
STL
STL源码分析
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
theseus
A library for differentiable nonlinear optimization