Pinned Repositories
awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
Better-Python-59-Ways
Code Sample of Book "Effective Python: 59 Specific Ways to Write Better Pyton" by Brett Slatkin
books
Tool books for programming
champs-scalar-coupling
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Cookbook
The Data Engineering Cookbook
course-v3
The 3rd edition of course.fast.ai
courses-intro-to-unix-shell
Introduction to Shell for Data Science by Greg Wilson
cracking-the-coding-interview
:books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
wcreus's Repositories
wcreus/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
wcreus/Better-Python-59-Ways
Code Sample of Book "Effective Python: 59 Specific Ways to Write Better Pyton" by Brett Slatkin
wcreus/champs-scalar-coupling
wcreus/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
wcreus/Cookbook
The Data Engineering Cookbook
wcreus/course-v3
The 3rd edition of course.fast.ai
wcreus/courses-intro-to-unix-shell
Introduction to Shell for Data Science by Greg Wilson
wcreus/cracking-the-coding-interview
:books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.
wcreus/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
wcreus/ctci-solutions
Python solutions to Cracking the Coding Interview (6th edition)
wcreus/data-science-at-the-command-line
Data Science at the Command Line
wcreus/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
wcreus/DeepInsight
A general framework for interpreting wide-band neural activity
wcreus/demo
this a demo repository
wcreus/fastai
The fastai deep learning library, plus lessons and and tutorials
wcreus/GP4A
Code for NeurIPS 2019 paper: "Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
wcreus/interpret
Fit interpretable models. Explain blackbox machine learning.
wcreus/learn-citrination
Training materials
wcreus/matminer
data mining for Materials Science
wcreus/matminer_examples
A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code
wcreus/posts
A repository for code accompanying my Medium posts.
wcreus/ppca_prml
wcreus/practicalAI
📚 A practical approach to machine learning.
wcreus/Python-Interview-Problems-for-Practice
40+ Common code and interview problems solved in Python (it's growing...) Please go through the README.md before starting.
wcreus/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
wcreus/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
wcreus/scipy2014_tutorial
Tutorial: Bayesian Statistical Analysis in Python
wcreus/sphinx-material
A material-based, responsive theme inspired by mkdocs-material
wcreus/starter-web
Simple starting point website project based upon Initializr
wcreus/website