Pinned Repositories
7637project
ravens AI agent for CS-7637
AlphaTree-graphic-deep-neural-network
机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
arfftocsv
ARFF to CSV converter (python)
blocks-world
The Blocks World problem implemented and sovled with Python
coding-interview-university
A complete computer science study plan to become a software engineer.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
discount-for-student-dev
This is list of discounts on software (SaaS, PaaS, IaaS, etc.) and other offerings for developers who are students
chusally's Repositories
chusally/7637project
ravens AI agent for CS-7637
chusally/AlphaTree-graphic-deep-neural-network
机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
chusally/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
chusally/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
chusally/arfftocsv
ARFF to CSV converter (python)
chusally/blocks-world
The Blocks World problem implemented and sovled with Python
chusally/coding-interview-university
A complete computer science study plan to become a software engineer.
chusally/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
chusally/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
chusally/discount-for-student-dev
This is list of discounts on software (SaaS, PaaS, IaaS, etc.) and other offerings for developers who are students
chusally/DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
chusally/forecast
forecast package for R
chusally/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
chusally/MachineLearningStocks
Using python and scikit-learn to make stock predictions
chusally/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
chusally/Python
All Algorithms implemented in Python
chusally/Python-3-Object-Oriented-Programming-Third-Edition
Python 3 Object-Oriented Programming – Third Edition, published by Packt
chusally/Python-Head-First-Design-Patterns
Python Head First Design Patterns
chusally/Q_learning
In this project the purpose is to implement and assess Q-Learning. First it test Q-Learning implementation to solve a navigation problem. Then applying Q-Learning to stock trading. QLearner class has been implemented in the file QLearner.py.
chusally/q_learning_trading
create a learning agent using Q-learning
chusally/ravens-progressive-matrices
Designed an intelligent agent that takes image files as input and can solve Raven's Progressive Matrices test
chusally/RavensAgent
Knowledge based AI Agent that solves Raven's Progressive Matrices
chusally/RPM-AI-Agent
AI Agent for solving Raven's Progressive Matrices as a test of general intelligence
chusally/solutions
Solutions for projects.