Pinned Repositories
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Awesome-Mobility-Machine-Learning-Contents
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
data-science-from-scratch
code for Data Science From Scratch book
flatland-challenge
Multi-agent reinforcement learning on trains, for Deep Learning class at UNIBO
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
hnet
Association ruled based networks using graphical Hypergeometric Networks.
Machine-Learning
Python implementation of machine learning algorithms
machine_learning_examples
A collection of machine learning examples and tutorials.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
OmniXAI
OmniXAI: A Library for eXplainable AI
Malarksn's Repositories
Malarksn/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Malarksn/Awesome-Mobility-Machine-Learning-Contents
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
Malarksn/data-science-from-scratch
code for Data Science From Scratch book
Malarksn/flatland-challenge
Multi-agent reinforcement learning on trains, for Deep Learning class at UNIBO
Malarksn/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Malarksn/hnet
Association ruled based networks using graphical Hypergeometric Networks.
Malarksn/Machine-Learning
Python implementation of machine learning algorithms
Malarksn/machine_learning_examples
A collection of machine learning examples and tutorials.
Malarksn/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Malarksn/OmniXAI
OmniXAI: A Library for eXplainable AI
Malarksn/pgmpy_notebook
Getting Started guide to Probabilistic Graphical Models(PGM) and pgmpy
Malarksn/tikz-bayesnet
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.