Neural Network topic
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
diff2vec
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
GEMSEC
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
deep-learning-notes
🤖 Deep Learning notes and snippets
cross-adaptive-audio
Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects
ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Python-Machine-Learning
Python Machine Learning Algorithms
alphago-zero-tictactoe-js
A game framework based on AlphaZero/TensorFlow.js runs in browser to demonstrate tic-tac-toe AI game. Use a pre-trained model or train from scratch. Ported from suragnair/alpha-zero-general (Python)
Flappy-Bird-AI
Artificial Intelligence based Flappy Bird Game
rnn_ctc
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.