Isaac T. Nicholaus (Isaac009)

Isaac009

Geek Repo

Company:Dongseo Unv.

Location:Busan South Korea

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Isaac T. Nicholaus's repositories

AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch.

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AutoML

AutoML using AutoGluon Package

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awesome-AutoML

Curating a list of AutoML-related research, tools, projects and other resources

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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BabyRobot

A Baby Robot's Guide to Reinforcement Learning

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

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Deep-Reinforcement-Learning-Algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

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DigitalImageProcessing2021

Meant to work with OpenCV

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evaluate

A library for easily evaluating machine learning models and datasets.

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Evolutionary-Reinforcement-Learning

Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

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fastnfitness

FastNFitness Android app: Body, Cardio and Fitness tracking.

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Hands-On-Meta-Learning-with-Python-1

Hands-On Meta Learning with Python

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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highway-env

A minimalist environment for decision-making in autonomous driving

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laravel-invoices

Laravel package to generate PDF invoices from various customizable parameters

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macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

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marl

Multi-agent reinforcement learning framework

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MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

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multiagent_mujoco

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

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Pacman-MultiAgent

18020651 - Nguyễn Văn Huy

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PIC-RB-SAMPLING

Modification of the PIC

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pymarl

Python Multi-Agent Reinforcement Learning framework

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python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

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RecNN

Reinforced Recommendation toolkit built around pytorch 1.7

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Recommender_system_via_deep_RL

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

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TSP_DRL_PtrNet

PyTorch1.6, "Neural Combinatorial Optimization with Reinforcement Learning", Pointer Networks, Deep RL(Actor-Critic), Traveling Salesman Problem

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world-model-as-a-graph

Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)

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