ceokereke's repositories
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
3D_Path_Planning
AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file
alpha-zero-general
A clean implementation based on Alpha Zero for any game in any framework + tutorial + Othello/Gobang/TicTacToe
alphagozero
Unofficial attempt to rebuild AlphaGo Zero
AndroidChat
Demonstrates using the Firebase Android SDK to back a ListView.
ChatGPT-at-Home
ChatGPT @ Home: Large Language Model (LLM) chatbot application, written by ChatGPT
chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
connect4-alpha-zero
Connect4 reinforcement learning by AlphaGo Zero methods.
drshahizan
My profile readme
flask-dash-app
Flask App containing Dash for Speed Test
hodgkinhuxley-model-python
Python version of the Hodgkin and Huxley Model
IPython-Dashboard
A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.
Local-Planner-Visualization-Project
An all-in-one application to visualize multiple different local path planning algorithms
mlmapp
A multi-level marketing web application -- matrix type
PathBench
Benchmarking Platform for Classic and Learned Path Planning Algorithms.
PathPlanning-1
Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV
php-mlm-matrix
Библиотека для работы с mlm матрицами
Projects
A place to store code for works in progress or works that are not meant to be polished versions
ReducibleforCollisionDetection
Repository containing all code for the videos on the Reducible YouTube channel
speedtest-python
Flask web app to test your Internet Speed.
spiking-ddpg-mapless-navigation
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
Youtube-Code-Repository-philtabor
Repository for most of the code from philtabor YouTube channel