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CS 280 Spring 2019 at UC Berkeley
For me to practice Data Science and Statistics
This repository contains data science take home assignments that I have encountered in company interviews
HW 1
A repository to practice using sklearn/tensorflow/data visualization/tableau/pandas all done on the UCI heart disease repository, Kaggle link here: https://www.kaggle.com/ronitf/heart-disease-uci
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
Convert IEOR 142/242 R materials to Python
Application in Data analysis (Fall 2019)
Monte Carlo tree search in JAX
An implementation of an estimator for ML
NK DSGE models stands for New Keynesian Dynamic Stochastic General Equilibrium Models. These are the current models in use for macroeconomic forecasting and policy design, including at the New York Fed: https://www.newyorkfed.org/research/policy/dsge#/overview The main difference is that this will be written in Python to be amenable to reinforcement learning and other such tools. In particular, we will be exploring the use of inverse reinforcement learning to improve the macroeconomic predictions, since ACE models are still too computationally infeasible for macroeconomics.
CS 170 Spring 2021 Project
Python implementation of the Histogram of Oriented Gradients.
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
PyTorch implementation of Soft Actor-Critic (SAC)
My experiments with Financial/Quantitative Analysis and Modeling
Portfolio for my 2019 Robotics code
A repository of all my jupyter notebooks and notes on statistics. Inside, all the useful formulas are collected, all the standard python packages for doing statistics are demonstrated, and resources and explanations are given. It also has things at higher levels like multivariate regression etc. containing enough classes for any Statistics major
A repository for a Xiangqi board and game without the AI
Our prototype and educational code is here
Boom or Bust
Didactic Chinese chess Xiangqi engine by Code Monkey King
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.