Pinned Repositories
99-scala-problems
drlnd-p1
Deep Reinforcement Learning Nanodegree, Project 1: Navigation.
drlnd-p2
Deep Reinforcement Learning Nanodedree, Project 2: Continuous Control.
drlnd-p3
Deep Reinforcement Learning Nanodedree, Project 3: Collaboration and Competition.
fuzzy-k-means
This is a Fuzzy-k-Means implementation written in Scala with a scikit-learn-like API
isee
A simple application recognizing drawn images, backed by the synaptic library!
nabla
Yet another automatic differentiation library.
scala-ml
Scala implementations of Coursera's machine learning class
som
a self organizing map for scala and spark
ShokuninSan's Repositories
ShokuninSan/drlnd-p1
Deep Reinforcement Learning Nanodegree, Project 1: Navigation.
ShokuninSan/drlnd-p2
Deep Reinforcement Learning Nanodedree, Project 2: Continuous Control.
ShokuninSan/drlnd-p3
Deep Reinforcement Learning Nanodedree, Project 3: Collaboration and Competition.
ShokuninSan/nabla
Yet another automatic differentiation library.
ShokuninSan/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
ShokuninSan/AlphaZeroSimple
The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
ShokuninSan/bayesian-inference-turing
Workshop on Bayesian inference using Turing.
ShokuninSan/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
ShokuninSan/bayesian-neural-network-mnist
Bayesian neural network using Pyro and PyTorch on MNIST dataset
ShokuninSan/BayesianInferencePyMC
Workshop on Bayesian inference using PyMC
ShokuninSan/data_science_in_julia_for_hackers
Data Science in Julia With Hackers https://datasciencejuliahackers.com/
ShokuninSan/deep-q-learning-from-paper-to-code
Exercises for Udemy course Modern Reinforcement Learning - Deep Q Learning in PyTorch
ShokuninSan/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
ShokuninSan/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
ShokuninSan/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
ShokuninSan/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
ShokuninSan/dgl_blitz_introduction
Notebooks from DGL documentation
ShokuninSan/dl_book
legend
ShokuninSan/drlnd-soccer
Deep Reinforcement Learning Nanodegree, Optional Challenge: Play Soccer.
ShokuninSan/feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
ShokuninSan/gaussian-process-tutorials
ShokuninSan/gdrl
Grokking Deep Reinforcement Learning
ShokuninSan/gym-minigrid
Minimalistic gridworld package for OpenAI Gym
ShokuninSan/muzero-general
MuZero
ShokuninSan/Planet_Sakaar_Data_Science
A colourful collection of codes and notebooks, like Planet Sakaar
ShokuninSan/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ShokuninSan/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
ShokuninSan/resources
PyMC3 educational resources
ShokuninSan/shap
A game theoretic approach to explain the output of any machine learning model.
ShokuninSan/WhileMyMCMCGentlySamples
my blog