yongduek

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

ArtofStatistics

Code for 'The Art of Statistics'

Bayesian-Statistics-Techniques-and-Models--University-of-California-Santa-Cruz---Coursera

Course materials for the Coursera MOOC: Bayesian Statistics Techniques and Models from University of California Santa Cruz

DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

Deep-Reinforcement-Learning-Hands-On-Second-Edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deep-reinforcement-learning-udacity

Repo for the Deep Reinforcement Learning Nanodegree program

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

DeepReinforcementLearningInAction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

evolution_strategies_openai

implementation of "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper

gks3008_2021

Materials for GKS3008 Exploratory Computational Bayesian Data Analysis

GNN_study

Goose-Desktop-AmongUS

AmongUS version of famous Goose Desktop

Hands-On-Intelligent-Agents-with-OpenAI-Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Hierarchical-Actor-Critic-HAC-PyTorch

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

HSC2021-AlphaSolar

Mountaincar-v0-1

Mountaincar is a simulation featuring a car on a one-dimensional track, positioned between two “mountains”. The. Goal is to drive up the mountain on the right; however, the car’s engine is not strong enough to scale the mountain in a single pass. Therefore, the only way to succeed is to drive back and forth to build up momentum.

pan_pp.pytorch

Official implementations of PSENet, PAN and PAN++.

Perception-in-Robotics-course-T3-2021-Skoltech

Percepion in Robotics, T3 course 2020-2021 from the Data Science Program at Skoltech

PSENet.pytorch

A pytorch re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

PyTorch-BYOL

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

reinforcement-learning-specialization

Reinforcement Learning Specialization courses solutions

rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

ROS-Examples

Regression and other stories R examples

self_supervised

A Pytorch-Lightning implementation of self-supervised algorithms

tictactoe-reinforcement-learning

Train a tic-tac-toe agent using reinforcement learning.