Can Ozkan's repositories
academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
coding-interview-university
A complete computer science study plan to become a software engineer.
cupy
NumPy & SciPy for GPU
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
ds105w3
This is w3 lab
gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
GNN-RL-Model-Compression
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
Graph-Machine-Learning
Graph Machine Learning, published by Packt
homework
Assignments for CS294-112.
imitation_learning
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
MAgent
A maintained fork of the MAgent Multi-Agent RL Library
Mastering-Reinforcement-Learning-with-Python
Mastering Reinforcement Learning with Python, published by Packt
ML-Tutorials-Season-2
Materials for UCL Artificial Intelligence Society Machine Learning Tutorials Season 2 (2021/2022)
or-tools
Google's Operations Research tools:
pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
scikit-mobility
scikit-mobility: mobility analysis in Python
torchgeo
TorchGeo: datasets, transforms, and models for geospatial data