Isaac T. Nicholaus's repositories
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
AutoML
AutoML using AutoGluon Package
awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
BabyRobot
A Baby Robot's Guide to Reinforcement Learning
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
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.
DigitalImageProcessing2021
Meant to work with OpenCV
evaluate
A library for easily evaluating machine learning models and datasets.
Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
fastnfitness
FastNFitness Android app: Body, Cardio and Fitness tracking.
Hands-On-Meta-Learning-with-Python-1
Hands-On Meta Learning with Python
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.
highway-env
A minimalist environment for decision-making in autonomous driving
laravel-invoices
Laravel package to generate PDF invoices from various customizable parameters
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:
marl
Multi-agent reinforcement learning framework
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
multiagent_mujoco
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
Pacman-MultiAgent
18020651 - Nguyễn Văn Huy
PIC-RB-SAMPLING
Modification of the PIC
pymarl
Python Multi-Agent Reinforcement Learning framework
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
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.
TSP_DRL_PtrNet
PyTorch1.6, "Neural Combinatorial Optimization with Reinforcement Learning", Pointer Networks, Deep RL(Actor-Critic), Traveling Salesman Problem
world-model-as-a-graph
Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)