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100 Days of ML Coding
Explore ABAP syntax in a nutshell supported by executable demo examples.
Simulated annealing algorithm Implementation in a Jupyter notebook.
Curated list of awesome mental models / heuristics / intuition pumps / atomic habits / tools for thought
Python library for Multi-Armed Bandits
Elementary Calculus very good - Japanese
PyBites Code Challenges
A notebook with simple definitions and terms involved in Convex optimization topic
Some of my solutions to problems posed in my graduate-level convex optimization class
Manual and stats library Correlation coefficient
A Python-embedded modeling language for convex optimization problems.
Cheat Sheets
The Data Science with Python course provides a complete overview of Data Science analytics techniques using Python. A data scientist is one of the hottest fields today and Python is a crucial skill for many Data Science roles. Expand your Data Science knowledge with this Python certification course.
Criteria for decision-making in games against nature under uncertainty in form of Jupyter Notebook. Supports Wald's, Savage, Hurwicz, Hodges–Lehmann, Laplace, Maximum Expected Utility, Minimum Expected Regret criteria.
An implementation of Multi-Objective Decision Analysis algorithms
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Dhyan's Personal Respository
An implementation of Fortune's algorithm for Voronoi diagrams in Python.
Fourier series summation and symbolic representation for algebraic functions
The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.
Scripts inspired by book Inventory Optimization by Nicolas Vandeput.
A Jupyter book intended as an introduction to linear algebra with Jupyter notebooks.
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
Notes on books I read, talks I watch, articles I study, and papers I love
A module for solving linear programming problems on Python.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Best courses from around the web to learn Artificial Intelligence
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.