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adventures-in-reinforcement-learning

This repository contains code for different implementations of assorted reinforcement learning algorithms (evolutionary ones as well). My aim is to create a place where algorithms can be explored and manipulated easily, and implemented on interesting environments.

aero-matlab

My matlab homework files

android-training-course-in-chinese

Google Android官方培训课程中文版

aop

AOP in PHP

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

code_snippets

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

covid19-agestructureseir-wuhan-social-distancing

Age-structured SEIR model for COVID-19 outbreak in Wuhan, China

cs234-reinforcement-learning-winter-2019

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

cvxpylayers

Differentiable convex optimization layers

cylinder2dflowcontroldrl

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

cylinder2dflowcontrolgeneral

Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

deep-brain-stimulation

Computational analysis of optimal patterns of current injection for deep brain stimulation

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep-reinforcement-learning-algorithm-collection

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-survey

My Exploration on Deep Reinforcement Learning Survey

deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

deepkoopman

neural networks to learn Koopman eigenfunctions

density-stratified-rigid-lid-linear-shear

Matlab code to compute traveling wave solutions to Euler for a density stratified with linear shear as well as compute the spectral stability of the traveling wave solutions. Uses a modification of the nonlocal fomulation of the water-wave problem due to Ablowitz, Fokas, and Musslimani.

direct-and-iterative-solver-of-linear-systems

In this paper, we will be evaluating numerical methods for direct and iterative solvers of linear systems. From class we have discussed the various methods; Gauss elimination with pivoting techniques, Jacobi Iterative Method, Gauss-Seidel Iterative Method, Successive Over-Relaxation Method, Iterative Refinement Method, and Conjugate Gradient Method. In this paper, using Python programming language, we will discuss how each method evaluates various linear systems of equations, and then we will discuss the complexity, accuracy, and stability of each method

draggan

Code for DragGAN (SIGGRAPH 2023)

eigenvalue_methods

Methods that find the largest and smallest eigenvalue to a nxn matrix.

extractingsparsehighdimensionaldynamicsfromlimiteddata

fenics-drl

goagent-mac

A simple GUI for running goagent under mac

gradientdescentexample

Example demonstrating how gradient descent may be used to solve a linear regression problem