911 Open source projects that are alternatives of or similar to Phillip

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Artificial intelligence for the Snake game.

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Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

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Open-source simulator for autonomous driving research.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Deep Reinforcement Learning based Trading Agent for Bitcoin

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

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Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Grokking Deep Reinforcement Learning

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

🤖 An Open Source Texas Hold'em AI

Python library for Reinforcement Learning.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

🤖🎨🎸A curated list of awesome projects, works, people, articles, and resource for creating art (including music) with machine learning. It's machine learning art.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Fuse multiple depth frames into a TSDF voxel volume.

Learning to Learn in TensorFlow

Efficient Learning of Augmentation Policy Schedules

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

A3C LSTM Atari with Pytorch plus A3G design

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A PyTorch library for building deep reinforcement learning agents.

Medical Q&A with Deep Language Models

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

A Configurable Recommender Systems Simulation Platform

🤖 Python application responsible for Serenata de Amor's intelligence

Exploiting Bitcoin prices patterns with Deep Learning.

An open-source platform for Visual AI.

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

Deep Reinforcement Learning Framework + Algorithms

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CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章

Implementations of Reinforcement Learning Models in Tensorflow

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

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Arnold - DOOM Agent

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This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Starcraft AI Bot

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

Repository which contains links and resources on different topics of Computer Science.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

A course in reinforcement learning in the wild