MrZhangmc's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
shichangzhi/fucking-algorithm-book
《labuladong的算法小抄》顺序阅读版
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）
skywind3000/awesome-cheatsheets
超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:
wensonsmith/YoudaoTranslator
Alfred Youdao Translate Workflow
deep-reinforcement-learning-book/Chapter4-DQN
DQN examples codes in chapter 4
daohu527/dig-into-apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
brynhayder/reinforcement_learning_an_introduction
Notes and exercise solutions for second edition of Sutton & Barto's book
yangmingzi/how-to-implement-a-DB-like-sqlite
altercation/solarized
precision color scheme for multiple applications (terminal, vim, etc.) with both dark/light modes
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
billhhh/The-C-Book
anvaka/ngraph.path
Path finding in a graph
zhm-real/PathPlanning
Common used path planning algorithms with animations.
zzw-zwzhang/Awesome-of-Time-Series-Prediction
A curated list of time series prediction resources.
sangyx/deep-finance
Datasets, papers and books on AI & Finance.
YangLinyi/FinNLP-Progress
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
z331565360/State-Frequency-Memory-stock-prediction
zhangchen010295/Reliability-Modeling-for-Stock-Comments
Reliability Modeling for Stock Comment
marscrazy/MTDNN
Multi-scale Two-way Deep Neural Network
fulifeng/Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
vedic-partap/Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
autowarefoundation/autoware
Autoware - the world's leading open-source software project for autonomous driving
google/googletest
GoogleTest - Google Testing and Mocking Framework
protocolbuffers/protobuf
Protocol Buffers - Google's data interchange format
bazelbuild/bazel
a fast, scalable, multi-language and extensible build system
gflags/gflags
The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:
google/glog
C++ implementation of the Google logging module