Pinned Repositories
-Learning-materials-
各种学习资料，包括一些百度云视频链接还有pdf资料
2014
2014要做的一些事的记录
a-first-course-in-probability
概率论的学习笔记和代码.
AndrewNg-ML
Machine Learning of Andrew Ng
android
《Android Studio开发实战：从零基础到App上线》随书源码
android-ffmpeg-java-demo
Android-VideoToImages
AndroidDevelopmentSummary
安卓开发总结——附带VPN翻墙
attention
several types of attention modules written in PyTorch
awesome-machine-learning
Learning Resources And Links Of Machine Learning（updating）
ltqin's Repositories
ltqin/a-first-course-in-probability
概率论的学习笔记和代码.
ltqin/attention
several types of attention modules written in PyTorch
ltqin/cbc-ubuntu-64bit
Cb (C flat) compiler. Cb is simplified C.
ltqin/CMake-Cookbook-cn
:book: 作为对《CMake Cookbook》的中文翻译。
ltqin/cmake-demo
《CMake入门实战》源码
ltqin/composable_kernel_internel
Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
ltqin/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
ltqin/CS231n-2017
Completed the CS231n 2017 spring assignments from Stanford university
ltqin/CS231n-assignment2019
CS231n 2019年春季学期课程作业
ltqin/cs231n.github.io
Public facing notes page
ltqin/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
ltqin/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
ltqin/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
ltqin/dlaicourse
Notebooks for learning deep learning
ltqin/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
ltqin/Introduction_to_probability_and_simulation
This is my first udemy course.
ltqin/jupyter-guide-to-linear-algebra
A Jupyter book intended as an introduction to linear algebra with Jupyter notebooks.
ltqin/Learn-LLVM-12
Learn LLVM 12, published by Packt
ltqin/Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistan
ltqin/llvm-project-9110
ltqin/llvm-project-mlir-dev
ltqin/LLVM-Techniques-Tips-and-Best-Practices-Clang-and-Middle-End-Libraries
LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries, published by Packt
ltqin/Markdown
Markdown 基本语法。
ltqin/MIOpen_dev
AMD's Machine Intelligence Library
ltqin/MIT-Linear-Algebra-Notes
MLNLP: Notes for MIT-Linear-Algebra
ltqin/PL-Compiler-Resource
程序语言与编译技术相关资料（持续更新中）
ltqin/Probability
Applied Probability Theory for Everyone
ltqin/Python-scientific-computation
《Python科学计算》第二版张若愚老师的演示代码
ltqin/transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
ltqin/udlbook
Understanding Deep Learning - Simon J.D. Prince