Stars
Playing around with Phyiscs-Informed Neural Networks
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Roadmap to becoming an Artificial Intelligence Expert in 2022
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Implementation of first visit Monte Carlo for prediction and control
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Doodle Jump clone with the main character inspired by Geometry Dash's protagonist
References on Optimal Control, Reinforcement Learning and Motion Planning
Repo for the Deep Reinforcement Learning Nanodegree program
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
erlerobot / gym-gazebo
Forked from openai/gymRefer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
An educational resource to help anyone learn deep reinforcement learning.
A simple framework for experimenting with Reinforcement Learning in Python.
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A course in reinforcement learning in the wild
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of awesome mathematics resources
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Human Protein Atlas - Single Cell Classification
A simple bot that detects and follows a particular type of object
A collection of various deep learning architectures, models, and tips
CBIS DDSM Breast Cancer Mammography Dataset - Convolutional Neural Networks