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Name: Jamal Abdul Nasir
Type: User
Bio: Keen to learn and deploy
Name: Jamal Abdul Nasir
Type: User
Bio: Keen to learn and deploy
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Simulation of autonomous car with CoppeliaSim Robot Simulator and Python.
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
simulation to PAI biped robot
Open-source simulator for autonomous driving research.
DDPG and Birds-Eye-View Generation for CARLA
Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.
ChatGPT-Python is a software that allows you to talk to GPT-3 with a web interface using the openai api
🖼️ A simple ChatGPT AI tutorial on how to generate images/text/code and its limitations 🤖
Conversation Chatbot with Streamlit UI and Chat GPT API
A coppelisim library that support integration with several type of robots and sensors such as vision sensor, proximity sensor, and force sensor. This project is particularly focused on the intergration between Coppeliasim vision sensor and opencv C++ library.
CoppeliaSim Python tutorial.
This project shows you how to program an arm robot in Coppeliasim by using Remote API python
Deep Reinforcement Learning for CoppeliaSim
CoppeliaSim control of various robots through remote API (Python) connection. UR5 industry-setting simulations.
Reinforcement learning environment with CoppeliaSim simulation platform.
Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
A clean Pytorch implementation of DDPG on continuous action space.
TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
Distributed Evolutionary Algorithms in Python
Source Code for 'Deep Reinforcement Learning with Python' by Nimish Sanghi
Deep reinforcement learning - DDPG algorithm with self driving car in Torcs
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
A plant disease detector (classifier) based on the PlantVillage dataset
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
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.