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backtrader

Python Backtesting library for trading strategies

cs393_vm_api

Virtual memory abstraction & methods for constructing, accessing, manipulating and destroying address spaces

cubesolverthesis

A cube solver using deep learning and group theory optimized for suboptimal solutions.

data_extraction

Count and report statistics about the number of occurrences of words within some entered text. The code then generates random text based on these statistics by a certain rule.

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deepcubea

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

designing_algorithms_for_tsp

Using Randomized Searching Algorithms, Advanced Genetic Algorithms, and Multithreading Algorithms to find an optimized solution for an NP-hard problem - Travelling salesman problem.

hawk_and_dove_simulation

A elementary simulation of the hawk and dove game, which is a game theoretical model of aggressive behavior.

hierarchical-hotnet

Hierarchical HotNet is an algorithm for finding hierarchies of active subnetworks.

huffman_encoding

An adaptive huffman encoding/decoding algorithm that can compress a file based on the frequencies of the occurrences of each letter.

lyce24.github.io

ocaml-lite-interpreter-design

The OCaml-lite interpreter is a streamlined tool for parsing and executing OCaml-lite programs, offering insights into programming language interpretation with a focus on simplicity and educational value.

quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

reed_mahjong

The aim of the project is to develop a real-time, web-based multi-player MahJong game using Django Channels, React, and Websocket.

rubiks-cube-reinforcement-learning

Solving a Rubik's Cube and 15 Puzzle using the Deep Reinforcement Learning and Search

rubikscube-twophasesolver

Solve Rubik's Cube in less than 19 moves on average with Python.

snake_game

The Snake game is a collection of games related to the normal snake game as the player can use 'W/A/S/D' to change the direction of the snake. The game ends when the snake hits the boundaries or itself. The snake can gain points by eating the grey bonus in the game. However, eating the bonus will cause the speed and the length of the snake to increase, which increases the difficulty of the game.

software_engineering

spras

Signaling Pathway Reconstruction Analysis Streamliner (SPRAS)

thesis