Stars
Roboto_origin Fully Open-Source DIY Humanoid Robot/萝博头原型机全开源手搓级人形机器人
Orillusion is a pure Web3D rendering engine which is fully developed based on the WebGPU standard.
Source code of my project ID:INVADED(WINDOWED)
Seq2Seq Transformer using Pytorch from Scratch for Chatbot
Kumpulan data yang akan digunakan untuk keperluan chatbot bahasa Indonesia dengan kode chatbot sederhana menggunakan Typescript
Free Vue.js 3.x Tailwind 4.x admin dashboard template with dark mode. Vite builds. Pinia state. Laravel integration available
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
Multi-Joint dynamics with Contact. A general purpose physics simulator.
A toolkit for developing and comparing reinforcement learning algorithms.
Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This framework is meant to assist my Self Driving Car project. If you think this framework will help you, feel free to clone or fork this repository
Open-source simulator for autonomous driving research.
Deep Reinforcement Learning by using Truly Proximal Policy Optimization in Tensorflow 2 and Pytorch
Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow
Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
View a Git Graph of your repository in Visual Studio Code, and easily perform Git actions from the graph.
AdonisJS is a TypeScript-first web framework for building web apps and API servers. It comes with support for testing, modern tooling, an ecosystem of official packages, and more.
Pavelrst / RL-on-SUMO
Forked from NikuKikai/RL-on-SUMODemos of reinforcement learning on Simulation of Urban MObility
A framework intended to facilitate the development and/or implementation of reinforcement learning algorithms in PyTorch
Reinforcement Learning using Soft Actor Critic
YoloV3 Implemented in Tensorflow 2.0
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation


